机床整体控制专家系统及智能柔性驱动编程方案

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机床工业机器人数控系统—编程语言

机床工业机器人数控系统—编程语言
主要起草人:尹玲、周星、陈思敏、黄键、高萌、宁国松、杨林、欧道江、杨海滨、李国龙、张航军、金健、 陈吉红。
标准目次
参考资料:
内容范围
《机床工业机器人数控系统—编程语言》(GB/T -2020)规定了机床工业机器人数控系统的编程语言,以及 编程语言中的指令类型、功能和用法。该标准适用于机床工业机器人数控系统。其他用途的机器人控制系统可参 照该标准。
Байду номын сангаас
意义价值
《机床工业机器人数控系统—编程语言》(GB/T -2020)完善了机床工业机器人数控系统编程代码体系,扩 充了代码内容和涵义,有助于统一机床工业机器人数控系统编程代码使用要求,引导工业机器人数控系统编程语 言向功能性强、兼容性好、通用性高的方向发展,使工业机器人编程操作更安全、简洁、高效,提升操作体验。 该标准的指定对于促进本领域的技术交流和技术进步,加快工业机器人的应用推广具有重要意义。
机床工业机器人数控系统—编 程语言
中华人民共和国国家标准
01 制定过程
03 内容范围
目录
02 标准目次 04 意义价值
《机床工业机器人数控系统—编程语言》(GB/T -2020)是2021年5月1日实施的一项中华人民共和国国家标 准,归口于全国机床数控系统标准化技术委员会。
《机床工业机器人数控系统—编程语言》(GB/T -2020)规定了机床工业机器人数控系统的编程语言,以及 编程语言中的指令类型、功能和用法。该标准适用于机床工业机器人数控系统。其他用途的机器人控制系统可参 照该标准。
制定过程
制定依据
编制进程
起草工作
2017年7月21日,国家标准计划《机床工业机器人数控系统—编程语言》(-T-604)下达,项目周期24个月, 由中国机械工业联合会提出,由TC367(全国机床数控系统标准化技术委员会)归口上报及执行,主管部门为中 国机械工业联合会。

智能制造柔性运行控制系统简单介绍

智能制造柔性运行控制系统简单介绍
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质量保证、质量管理、质量控制的概念
• 质量保证(QA)是指:对某一产品或服务能满足规定质量要求, 提供适当信任所必需的全部有计划、有系统的活动。
• 质量管理(QM)是指:制定和实施质量方针的全部管理职能。 • 质量控制(QC)是指:为达到质量要求所采取的作业技术和活
动。 • 质量系统(QS)是指:为实施质量管理的组织结构、职责、程
(1)通过质量信息的集成,实现质量信息的及时处理与反馈,从而保证产品 质量及制造过程的改善。
(2)可以将用户的需求直接用于控制产品的设计工作,并对设计及工艺进行 分析和审核,尽早发现在制造过程中可能出现的质量缺陷,实现在设计阶段保 证产品质量。
(3)及时向操作者和管理人员提供正确的制造过程信息及产品质量信息。
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FMS单元控制器的功能模型
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FMS控制系统的信息流
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质量保证体系
柔性制造系统是一个将机械制造、计算机技术、自动化技术、信息通讯技术 集于一身的具有高度自动化水平、高度柔性的先进制造系统。质量保证系统 QAS(Quality Assurance System)是其一个重要组成部分。柔性制造环境下的 质量保证系统的作用在于:
• 正是由于其控制范围广,所以其承担的任务较繁重。 • 为避免用一台计算机过于集中控制,目前几乎所有的FMS
都采用了多级计算机递阶控制结构,以此来分散主计算机 的负荷,提高系统的可靠性,同时也便于控制系统的设计 和维护。
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控制系统的结构
通常采用递阶控制的结构形式,即通过对系统的控制功能进行正确、合理 地分解,划分成若干层次,各层次分别进行独立处理,完成各自的功能,层与 层之间在网络和数据库的支持下,保持信息交换,上层向下层发送命令,下层 向上层回送命令的执行结果。

智能制造中的柔性生产系统编程技巧

智能制造中的柔性生产系统编程技巧

智能制造中的柔性生产系统编程技巧在智能制造领域,柔性生产系统是一种高度自动化且具有灵活性的生产方式,它能够根据不同的生产需求自动调整和适应生产流程。

为了实现柔性生产系统的高效运行,合理的编程技巧是至关重要的。

柔性生产系统的编程技巧主要包括以下几个方面:工艺流程规划、任务调度优化、异常处理和设备监控等。

首先,在柔性生产系统的编程中,工艺流程规划是一个重要的环节。

工艺流程规划要基于产品的特性和生产要求,合理安排生产环节的顺序和工序之间的先后关系。

在编程中,需要使用合适的语言和工具,将工艺流程规划转化为可执行的代码。

此外,还需要考虑可重复使用的代码块和模块化的设计,以提高编程效率和可维护性。

其次,任务调度优化是柔性生产系统编程的关键之一。

柔性生产系统通常同时处理多个任务,因此,合理的任务调度能够提高系统的生产效率和资源利用率。

在编程中,需要考虑如何优化任务的分配和处理顺序,以最大程度地减少等待时间和提高系统的吞吐量。

可以利用任务优先级、资源约束和时序关系等方法进行任务调度优化。

第三,异常处理是柔性生产系统编程中不可忽视的一部分。

由于柔性生产系统的复杂性,很容易出现各种异常情况,如设备故障、物料不足等。

在编程中,需要预先规划和处理这些异常情况,保证设备和生产系统能够快速恢复正常运行。

可以使用异常处理机制、传感器监测和报警系统等方法来实现。

最后,设备监控是柔性生产系统编程的一个重要环节。

在编程中,需要实时监测和控制设备状态以及生产过程中的性能指标。

可以利用传感器和监控系统实时采集数据,然后通过编程方式对数据进行处理和分析,以达到对设备和生产过程的实时监控和控制。

在实际应用中,柔性生产系统编程技巧的应用需根据具体的生产需求和系统特点进行灵活的调整和优化。

同时,随着智能制造技术的不断发展和创新,柔性生产系统编程技巧也需要不断地更新和提升。

总结起来,柔性生产系统编程技巧是智能制造中至关重要的一环。

工艺流程规划、任务调度优化、异常处理和设备监控是编程过程中需要关注和解决的关键问题。

面向大数据的智能化柔性制造控制系统设计

面向大数据的智能化柔性制造控制系统设计

面向大数据的智能化柔性制造控制系统设计近年来,人类社会正逐渐步入信息化、智能化的时代,而工业制造领域也不例外。

面对海量的生产数据以及多样化的生产需求,如何应对灵活多变的生产环境,从而实现高效精准的生产控制,已成为制造业发展的重点和难点。

因此,本文将围绕面向大数据的智能化软性制造控制系统设计展开论述。

一、现有的制造控制模式存在的问题在传统制造控制模式下,生产数据的采集较为困难,生产计划和控制主要依靠人工编排和干预,导致生产决策的逐层下放、反应滞后、决策精度低等问题,同时也存在着资源配置不均、生产不可靠、效率低下等局限性,难以满足现代制造的多样化和柔性化需求。

二、大数据与智能技术在制造控制中的应用为了解决上述问题,制造业开始探索利用大数据与智能技术,提高生产控制水平。

其中,大数据分析技术的应用可帮助企业在生产中采集、存储、处理大量的数据,实现对生产过程的监控和预测,从而快速反应生产变化,提高决策精准度和生产效率。

智能化技术则能够实现对生产线的优化调度和协同,提高资源配置的均衡性和生产效率。

三、面向大数据的智能化柔性制造控制系统的设计基于以上思路,本文提出了一种基于大数据与智能化技术的柔性制造控制系统,该系统主要包括以下几个模块:1. 数据采集模块数据采集模块是该系统的重要组成部分,它能够对制造过程中的各种生产数据进行采集、存储和处理,包括设备状态、能耗、工艺参数、质量信息等等。

采用物联网等技术将各种设备与系统进行连接,以实现数据互通和智能化监控。

同时,利用数据挖掘技术分析生产数据,提供决策支持,预测制造过程中可能出现的问题和风险。

2. 智能调度模块智能调度模块可以根据生产需求和资源利用率等因素,优化调度生产线上的各种设备和工序,并实现各种制造资源的合理配置。

该模块能够提供多种方案供选择,如生产计划优化、工艺优化、人员调度等。

通过模拟仿真、智能算法等技术,该系统能够实现自主调度和自动化协调,有效提高制造效率和质量。

数控机床的柔性制造系统设计与实现

数控机床的柔性制造系统设计与实现

数控机床的柔性制造系统设计与实现随着科技的不断发展,数控机床在制造业中的地位越来越重要。

数控机床的柔性制造系统设计与实现成为了制造业的热门话题。

本文将探讨数控机床柔性制造系统的设计原理和实现方法。

一、数控机床柔性制造系统的设计原理柔性制造系统(Flexible Manufacturing System,FMS)是一种集成了计算机控制、自动化设备和灵活制造工艺的制造系统。

数控机床作为柔性制造系统的核心设备,其设计原理主要包括以下几个方面:1. 自动化控制技术:数控机床通过计算机控制系统实现自动化加工操作。

该控制系统能够根据预先设定的加工程序,自动调整机床的工作参数,实现高精度、高效率的加工过程。

2. 智能化感知技术:数控机床配备了各种传感器,能够实时感知加工过程中的各种参数,如温度、压力、振动等。

通过智能化感知技术,机床可以根据实时数据进行自适应调整,提高加工质量和稳定性。

3. 数据交互与共享:数控机床通过网络与其他设备进行数据交互与共享。

通过与上位机、下位机以及其他机床的连接,实现生产信息的实时传递和共享,提高生产效率和协同性。

4. 灵活化加工工艺:数控机床具备多功能、多工序的加工能力。

通过灵活化加工工艺的设计,机床可以适应不同产品的加工需求,提高生产线的灵活性和适应性。

二、数控机床柔性制造系统的实现方法数控机床柔性制造系统的实现主要包括以下几个方面:1. 设备更新与改造:对现有的数控机床进行设备更新和改造,使其具备柔性制造的功能。

例如,通过替换控制系统、更换传感器等方式,使机床能够实现自动化控制和智能化感知。

2. 软件开发与集成:开发适用于柔性制造系统的软件,实现对机床的全面控制和管理。

通过软件的集成,实现机床与其他设备的数据交互与共享。

3. 加工工艺优化:优化机床的加工工艺,提高加工效率和质量。

通过分析产品的加工需求和机床的性能特点,设计出最佳的加工工艺流程,实现生产线的高效运行。

4. 人机协同:加强人机协同,实现人机一体化的生产模式。

数控机床的编程及操作

数控机床的编程及操作

网络资源共享; 数控机床的远程(网络)控制; 数控机床故障的远程(网络)诊断; 数控机床的远程(网络)培训与教学(网络数控)。
湖北江山重工有限责任公司
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数控机床的编程及操作
三、数控机床的结构和工作原理 数控机床主要由控制介质、数控装置、 伺服驱动装置、机床本体和其它装置组成。 1. 控制介质 它是用于记录各种加工指令信息(加工程序),以控制机床的运动,以实现 零件的加工。常用的控制介质有标准的穿孔纸带、磁带、磁盘等,随着微机技术 的不断发展,新的控制介质不断的出现,如CF存储卡等,为了满足大容量的加工 程序,控制介质的存储容量也越来越大,甚至可以外接硬盘 。 控制介质上的加工信息要经过输入装置传送到数控装置。常用的输入装置有 光电纸带输入机、磁带录音机、磁盘驱动器等。现今数控机床大多属于微机控制 的,随着微机技术的不断发展,新的输入装置不断的出现,更方便了加工信息的 输入。另外加工程序也可以通过操作面板或外接键盘直接输入,由于是人工进行 加工信息的输入,因此只能对简单的加工程序进行输入。对于大容量的加工程 序,必须通过磁盘或外部电脑进行输入。当数控装置的存储容量太小时,也可通 过DNC连线方式进行在线加工。
湖北江山重工有限责任公司
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数控机床的编程及操作

控制智能化:随着人工智能技术的不断发展,并为满足制造业生产柔性化、
制造自动化发展需求,数控技术智能化程度不断提高,具体体现在以下几个方面:
�加工过程自适应控制技术:通过监测加工过程中的切削力、主轴和进给电机
的功率、电流、电压等信息,利用传统的或现代的算法进行识别,以辩识出 刀具的受力、磨损以及破损状态,机床加工的稳定性状态;并根据这些状态 实时修调加工参数(主轴转速,进给速度)和加工指令,使设备处于最佳运 行状态,以提高加工精度、降低工件表面粗糙度以及设备运行的安全性。

《数控机床结构原理与应用》第8章 柔性制造系统(FMS)

《数控机床结构原理与应用》第8章  柔性制造系统(FMS)
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8.3 FMS的组成、工作原理及作用
一.FMS的组成 由于FMS强调制造过程的柔性和高效率,因而适应于多品种、
中小批量的生产。FMS的主要硬件设备有:计算机、数控机 床、机器人、托盘、传输线、自动搬运小车和自动立体仓库 等。它实现了工厂中工程设计、制造和经营管理三大功能中 的“制造”功能。 FMS概括起来可由下列三部分组成:多工位的数控加工系统、 自动化的物料贮运系统和计算机控制的信息系统,其构成框 图如图8-13所示。
FMS初级阶段是计算机数控系统CNCS,它用计算机通过执 行其寄存器内的程序来完成数控系统的部分或全部功能,并 配有接口电路、输入输出设备、可编程控制器(PLC)、主 轴驱动和进给驱动装置等组成的一种专用计算机系统。
二.柔性制造单元(FMC:Flexible Manufacturing Cell)
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8.3 FMS的组成、工作原理及作用
3.信息系统 信息系统包括过程控制及过程监控两个系统。其功能分别为:
过程控制系统进行加工系统及物流系统的自动控制;过程监 控系统进行在线状态数据自动采集和处理。信息系统的核心 是一个分布式数据库管理和控制系统,其主要任务是:组织 和指挥制造流程,并对制造流程进行控制和监视;向FMS的 加工系统、物流系统提供全部控制信息并进行过程监视,反 馈各种在线检测数据,以便修正控制信息,保证安全运行。
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8.2 FMS的分类与特点
2.配备可互相替换机床的FMS 这种类型的FMS,系统内的机床是可以相互代替的,工件可
以被送到适合加工它的任一台加工中心上。计算机的存储器 存有每台机床的工作情况,可以对机床分配加工零件。一台 加工中心可以完成部分或全部加工工序,如图8-11所示。 3.混合式的FMS 这类FMS是互补式FMS和替换式FMS的综合,即FMS中有 一些机床按替换式布置,而另一些机床按互补式安排,以发 挥各自的特点。大多数FMS采用这种形式,如图8-12所示。

机床可编程控制系统在柔性制造中的应用研究

机床可编程控制系统在柔性制造中的应用研究

机床可编程控制系统在柔性制造中的应用研究在现代制造业中,柔性制造已成为提高生产效率和产品质量的重要手段之一。

而机床可编程控制系统作为柔性制造的核心技术之一,对于实现柔性制造具有重要的推动作用。

本文旨在探讨机床可编程控制系统在柔性制造中的应用研究,并分析其对于制造业的影响和意义。

一、机床可编程控制系统的基本概念和原理机床可编程控制系统是一种可以根据产品加工要求进行编程的系统,通过编程的方式,可以实现机床的自动化控制和灵活性生产。

该系统由计算机软硬件、传感器、执行机构等多个组成部分构成,能够根据不同的工艺要求完成加工程序的自动执行。

机床可编程控制系统的实现依赖于先进的计算机技术和控制算法。

通过计算机软件编写加工程序,在与机床连接的控制器上进行加载,并根据加工程序的指令和参数实现机床轴运动、刀具进给等操作。

传感器可以实时获取加工过程中的数据,并通过反馈机制控制和调整机床的运动状态,以保证产品加工的精度和质量。

二、机床可编程控制系统在柔性制造中的应用1. 提高生产灵活性:传统机床生产方式需要人工干预和调整,调整过程繁琐且耗时。

而机床可编程控制系统可以通过简单的程序修改实现不同产品之间的无缝切换,大大提高生产的灵活性和效率。

2. 降低生产成本:机床可编程控制系统中的自动化和智能化技术能够减少人为因素对生产造成的质量波动,降低废品率和生产成本。

此外,机床可编程控制系统可以根据实际加工需求进行主动调整和优化,进一步提高生产效率和降低生产成本。

3. 增强生产质量:传统机床生产方式容易受到操作人员的技术水平和经验影响,难以保证产品的一致性和稳定性。

而机床可编程控制系统通过精确的控制和反馈机制,能够实时监测加工过程中的参数变化,并根据预设的标准进行调整和修正,从而保证产品加工的精度和质量。

4. 提升生产效率:机床可编程控制系统能够实现自动化生产,减少人工操作的时间和成本,并能够根据不同的加工要求进行多任务处理,实现生产过程的并行化。

机床整体控制专家系统及智能柔性驱动编程方案

机床整体控制专家系统及智能柔性驱动编程方案

机床整体控制专家系统及智能柔性驱动编程方案(总26页)本页仅作为文档封面,使用时可以删除This document is for reference only-rar21year.MarchAdaptive fuzzy logic controller for DC–DC convertersExpert Systems with ApplicationsThis paper introduces a complete design method to construct an adaptive fuzzy logic controller (AFLC) for DC–DC converter. In a conventional fuzzy logic controller (FLC), knowledge on the system supplied by an expert is required for developing membership functions (parameters) and control rules. The proposed AFLC, on the other hand, do not required expert for making parameters and control rules. Instead, parameters and rules are generated using a model data file, which contains summary of input–output pairs. The FLC use Mamdani type fuzzy logic controllers for the defuzzification strategy and inference operators. The proposed controller is designed and verified by digital computer simulation and then implemented for buck, boost and buck–boost converters by using an 8-bit microcontroller.Article Outline1. Introduction2. Basic design of adaptive fuzzy logic controller3. Adaptation algorithm for the fuzzy logic controller4. Computer simulation of the AFLC5. Implementation of the AFLC with microcontroller6. ConclusionCommissioning of textor CC, the new TEXTOR control system and first operating experiencesFusion Engineering and DesignThe old TEXTOR control systems have successfully been updated. The machine control has replaced by textor CC, a solution based on the software package WinCC produced by Siemens. WinCC, and therefore textor CC, can be easily integrated with the already available Siemens S5/S7 hardware components. This new system has the advantage that it is based on industrial soft- and hardware , the lifetime of the control system is extended and the maintenance effort is reduced. The installation and commissioning of the new control system was done in parallel to TEXTOR operation. During this time each function was tested and compared with the actual TEXTOR data. All functionality of the former control system was step-by-step replaced. Special attention was given to the visualization, data and error logging. The machine control timing system has been replaced by an in house development in partnership with Siemens. It consists of transmitters and receivers based on PROFIBUS modulesand is fully compatible with the pre-existing timing infrastructure. The old programmable function generator (PFG) has been replaced by compact RIO modules, controlled and programmed by Labview. This new PFG system allows to program up to 84 different time dependent signals. In this paper we intent to present a more detailed overview of our, on WinCC-based work, and a first status report on this new control system for TEXTOR. Article Outline1. Introduction2. Replacement of critical items. Old S3 PLC-components. Programmable function generator. Timing2.3.1. Code generation2.3.2. Modules2.3.3. Software, Step7, WinCC3. textor CC4. Conclusion and outlookReferencesApplication of PLC to dynamic control system for liquid He cryogenic pumping facility on JT-60U NBI systemThe control system of the cryogenic facility in the JT-60 NBI system has been replaced by employing the PLC (Programmable Logic Controller) and SCADA (Supervisory Control And Data Acquisition) system. The original control system was constructed about 20 years ago by specifying the DCS (Distributed Control System) computer to deal with 400 feedback loops. Recently, troubles on this control system have increased due to its age-induced deterioration. To maintain the high reliability of the cryogenic facility, a new control system has been planned with the PLC and SCADA systems. Their attractive features include high market availability and cost-effectiveness, however, the use of PLC for such a large facility with 400 feedback loops has not been established because of insufficient processing capability of the early PLC. Meanwhile, the recent progress in the PLC enables to use the FBD (function block diagram) programming language for 500 function blocks. Byoptimizing the function blocks and connecting them in the FBD language, the feedback loops have been successfully replaced from DCS to PLCwithout a software developer. Moreover, an oscillation of the liquid He level, which often occurs during the cooldown mode of the cryopumps, can be automatically stabilized by easily adding a new process program in the PLC. At present, the new control system has worked well.Article Outline1. Introduction2. Cryogenic facility for NBI system3. PLC based control system. Design concept. Construction of PLC based control system4. Operational results5. SummaryReferencesThe ECAL online software in the commissioning of the CMS detectorNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated EquipmentThe Electromagnetic Calorimeter (ECAL) of the Compact Muon Solenoid (CMS) detector at the CERN Large Hadron Collider (LHC) is a crystal homogeneous calorimeter made of about 76 000 lead tungstate crystals.The detector was installed in the CMS experimental cavern in 2007 and 2008 and was commissioned with cosmic rays and with LHC beams in 2008.The trigger and data acquisition system of the CMS ECAL comprises 35 000 Front End ASICs and 170 Off Detector VME Boards. The operation of the system, performed by the ECAL online software, requires the configuration of O(107) parameters and the realtime monitoring of O(105) registers.In this paper we discuss the design and architecture of the ECAL online software and its performances in cosmic ray runs and with the first LHC beams.Article Outline1. Introduction2. Architecture of the CMS ECAL DAQ system3. Role and performances of the ECAL online software in the commissioning of the CMS Electromagnetic Calorimeter4. ConclusionsAcknowledgementsCurrent sharing of paralleled DC–DC converters using GA-based PID controllersWe demonstrate a concept for pulse-width modulation (PWM) control of a parallel DC–DC buck converter, which eliminates the need for multiple physical connections of gating/PWM signals among the distributed converter modules. The proposed control concept may lead to easier distributed control implementation of parallel DC–DC converters and distributed power systems.For equipment with significant power requirement, the traditional single power supply may not be adequate. Many power supplies with parallel regulation control can be used to solve this problem. This paper proposes a Proportional-Integral-Derivative (PID) controller to control paralleled DC–DC buck converters and current sharing is achieved. A genetic algorithm (GA) is employed to derive optimal or near optimal PID controller gains. Both simulations and experimental results are provided to verify the theoretical analysis through an experimental prototype of paralleled DC–DC buck converters.Article Outline1. Introduction2. A GA-based PID controller design3. Stability analysis4. Experimental results. Simulation results. Experimental results5. ConclusionsAcknowledgementsIntegrated modeling and control of a PEM fuel cell power system with a PWMDC/DC converterPower Sources A fuel cell powered system is regarded as a high current and low voltage source. To boost the output voltage of a fuel cell, a DC/DC converter is employed. Since these two systems show different dynamics, they need to be coordinated to meet the demand of a load. This paper proposes models for the two systems with associated controls, which take into account a PEM fuel cell stack with air supply and thermal systems, and a PWM DC/DC converter. The integrated simulation facilitates optimization of the power control strategy, and analyses of interrelated effects between the electric load and the temperature of cell components. In addition, the results show that the proposed power control can coordinate the two sources with improved dynamics and efficiency at a given dynamic load.Article OutlineNomenclature1. Introduction2. Modeling of a fuel cell stack, air supply and thermal circuit. PEM fuel cell stack2.1.1. Model improvement for the stack2.1.2. Parameters and simulation. Air supply system. Thermal system. Controls for the air and coolant flow rate3. DC/DC converter4. Power control of the PEM fuel cell system with the DC/DC converter5. Integration and simulation6. ConclusionAcknowledgementsReferencesInterleaved soft-switched active-clamped L–L type current-fed half-bridge DC–DC converter for fuel cell applicationsInternational Journal of Hydrogen EnergyIn this paper, an interleaved soft-switched active-clamped L–L type current-fed half-bridge isolated dc–dc converter has been proposed. The L–L type active-clamped current-fed converter is able to maintain zero-voltage switching (ZVS) of all switches for the complete operating range of wide fuel cell stack voltage variation at full load down to light load conditions. Active-clamped circuit absorbs the turn-off voltage spike across the switches. Half-bridge topology maintains higher efficiency due to lower conduction losses. Soft-switching permits higher switching frequency operation, reducing the size, weight and cost of the magnetic components. Interleaving of the two isolated converters is done using parallel input series output approach and phase-shifted modulation is adopted. It reduces the input current ripple at the fuel cell input, which is required in a fuel cell system and also reduces the output voltage ripples. In addition, the size of the magnetic/passive components, current rating of the switches and voltage ratings of the rectifier diodes are reduced.Article Outline1. Introduction2. Operation and steady-state analysis3. Design, performance and simulation results4. Conclusion and summaryAppendix. Converter designReferencesDevelopment and commissioning results of the KSTAR discharge control system The Korea Superconducting Tokamak Advanced Research (KSTAR) control system has been developed as a network-based distributed control system composed of several sub-systems. There are many local control systems for various sub-systems, and the central control system includes discharge control, machine control, and safety interlocks which aim for integrated control of the entire system. We have chosen the Experimental Physics and Industrial Control System (EPICS) as the middleware of the KSTAR control system because EPICS provides a software framework to integrate heterogeneous systems. The discharge control system, which is implemented in a part of the supervisory control system, performs the discharge sequence execution. The plasma control system,which has been implemented with general atomics and modified for KSTAR, is involved in the discharge control. The plasma control system performs real-time plasma control algorithms and provides the results of the control algorithms to the magnet power supplies. We are using a reflective memory-based real-time network for communication between the plasma control system and the magnet power supplies, thus we developed a fully digital control for the magnet power supplies. We have implemented the discharge control system with state notation language (SNL) in EPICS and also developed interface software among the sub-systems. We will present the details of the development of the KSTAR discharge control system and commissioning results.Article Outline1. Introduction2. Discharge control system3. Implementations4. The results of commissioning and operationAcknowledgementsReferencesBeam-commissioning study of high-intensity accelerators using virtual accelerator modelIn order to control large-scale accelerators efficiently, a control system with a virtual accelerator model was constructed. The virtual accelerator (VA) is an on-line beam simulator provided with a beam monitor scheme. The VA is based upon the Experimental Physics and Industrial Control System (EPICS) and is configured under the EPICS input/output controller (IOC) in parallel with a real accelerator (RA). Thus, the machine operator can access the parameters of the RA through the channel access client and then feed them to the VA, and vice versa. Such a control scheme facilitates developments of the commissioning tools, feasibility study of the proposed accelerator parameters and examination of the measured accelerator data. This paper describes the beam commissioning results and activities by using the VA at the J-PARC 3-GeV rapid-cycling synchrotron (RCS).Article Outline1. Introduction2. EPICS control system and the VA. EPICS control system. Construction of VA system3. Beam commissioning by the VA. Betatron tune. Chromaticity. Commissioning tool for injection line. BPM polarity. Optics correction4. Discussion5. SummaryAcknowledgementsThe commissioning and the first operational experiences of the CMS RPC detector control system at LHCThe CMS Resistive Plate Chambers (RPC) system consists of 912 double-gap chambers. The challenging constrains on the design and operation of this system imposed the development of a complex Detector Control System to assure the operational stability and reliability of a so large and complex detector and trigger system . The final layout and functionality of the CMS RPC DCS as well as the operational experience during the detector's commissioning and first phase of LHC operation are presented here.Article Outline1. Introduction2. The RCS low-level layers: description and performances. The RPC power supply system. RPC environmental and front-end electronics monitoring. Gas and external systems monitoring3. The RCS software layers. RCS supervisor architecture. The RPC supervisor GUI4. Commissioning with cosmic rays and pp collisionsSoftware architecture awareness in long-term software product evolution Systems and SoftwareSoftware architecture has been established in software engineering for almost 40 years. When developing and evolving software products, architecture is expected to be even more relevant compared to contract development. However, the research results seem not to have influenced the development practice around software products very much. The architecture often only exists implicitly in discussions that accompany the development. Nonetheless many of the software products have been used for over 10, or even 20 years. How do development teams manage to accommodate changing needs and at the same time maintain the quality of the product In order to answer this question, grounded theory study based on 15 semi-structured interviews was conducted in order to find out about the wide spectrum of architecture practices in software product developing organisations. Our results indicate that a chief architect or central developer acts as a ‘walking architecture’ devising changes and discussing local designs while at the same time updating his own knowledge about problematic aspects that need to be addressed. Architecture documentation and representations might not be used, especially if they replace the feedback from on-going developments into the ‘architecturing’ practices. Referring to results from Computer Supported Cooperative Work, we discuss how explicating the existing architecture needs to be complemented by social protocols to support the communication and knowledge sharing processes of the ‘walking architecture’.Article Outline1. Introduction2. Architecture, knowledge, and awareness. Software architecture. The role of the software architect. Software product evolution and architecture. Knowledge management. Awareness in software engineering3. Research methodology. Grounded theory. Analytic process. Confidence4. The companies and their architectural practice. Interviewees and organisation profiles. The presence of software architecture5. Analysis of interviews. Architecture: who needs it and at what level. Documentation5.2.1. Code base as actual documentation5.2.2. The absence of a document. Architecture knowledge acquisition: how newcomers learn the architecture 5.3.1. Discussion with a chief architect5.3.2. Intermixed with programming5.3.3. Learning by doing. The role of a chief architect5.4.1. Controlling and communicating architecture within a development team 5.4.2. Updating the ‘walking architecture’5.4.3. Interfacing to outward. Communication about changes5.5.1. Meeting5.5.2. Nightly builds and testing5.5.3. Concurrent versions system (CVS) and subversion repository5.5.4. Rich IDE5.5.5. Code review5.5.6. Wiki. Evolution and changes. The problems of the practitioners6. Discussion. Architecture awareness is achieved through ‘walking architecture’ practices . Good reasons for bad documentation. How to promote architecture awareness7. ConclusionsAcknowledgementsReferencesTime delay control for fuel cells with bidirectional DC/DC converter and battery International Journal of Hydrogen Energy氢能源的电池组及其电子配件交流直流转化与驱动Transient behavior is a key property in the vehicular application of proton exchange membrane (PEM) fuel cells.A better control technology is constructed to increase the transient performance of PEM fuel cells. A steady-state isothermal analytical fuel cell model is constructed to analyze mass transfer and water transport in the membrane. To prevent the starvation of air in the PEM fuel cell, time delay control is used to regulate the optimum stoichiometric amount of oxygen, although dynamic fluctuations exist in the PEM fuel cell power. A bidirectional DC/DC converter connects the battery to the DC link to manage the power distribution between the fuel cell and the battery. Dynamic evolution control (DEC) allows for adequate pulse-width modulation (PWM) control of the bidirectional DC/DC converter with fast response. Matlab/Simulink/Simpower simulation is performed to validate the proposed methodology, increase the transient performance of the PEM fuel cell system and satisfy the requirement of energy management.Article Outline1. Introduction2. Fuel cell system model. PEM fuel cell stack. Airflow system. Hydrogen flow system3. Flow control. Feedfoward control. TDC3.2.1. TDC compensator design3.2.2. TDC observer design4. Bidirectional DC–DC converter. Bidirectional DC/DC converter topology. Dynamic evolution control (DEC)5. Simulation results and analysis6. ConclusionAcknowledgementsA control-theoretic approach to the management of the software system test phaseA quantitative, adaptive process control technique is described using an industrially validated model of the software system test phase (STP) as the concrete target to be controlled. The technique combines the use of parameter correction and Model Predictive Control to overcome the problems induced by modeling errors, parameter estimation errors, and limits on the resources available for productivity improvement.We present an example of the technique applied to data from the execution of the STP of a commercial software development effort at a large software manufacturer. The example shows that the control technique successfully achieves the schedule and quality objectives despite uncertainty in the estimation of the model parameters. Article Outline1. Introduction. Contributions. Organization2. Related work. Software testing. Software process control. Software process modeling. Software cybernetics3. State model of the STP4. Problems of modeling. Errors in the model. Errors in the parameters5. Control objectives6. A model predictive control approach. Retrain the model. Linearize the model about the nominal trajectory. Discretize the linearized model. Solve an optimal control problem with the discretized model. Implement the control suggestions7. Benefits of optimal control with constraints8. Choosing the cost matrices9. An illustrated example10. Applying the approach in practice11. Parameter identification. The original calibration algorithm11.1.1. Estimating ζ and ξ11.1.2. Estimating x011.1.3. Re-estimating x011.1.4. Re-estimating ζ and ξ. An alternative calibration algorithm11.2.1. Simulation11.2.2. Pre-fit data smoothing. Assessment of the technique12. Conclusions and future workAcknowledgementsReferences5 kW级 DC/DC converter for hydrogen generation from photovoltaic sources 五千瓦直流整流/稳压逆变器/变压器在氢能与太阳能发电站的运用This paper covers the design of a DC–DC power converter aimed for hydrogen production from photovoltaic sources. Power conditioning for such application is usually driven by different constraints: high step-down conversion ratio is required if the input voltage of such equipment has to be compatible with photovoltaic sources that are connected to grid-connected inverters; galvanic isolation; high efficiency and low mass. Taking into account those factors, this work proposes a push–pull DC/DC converter for power levels up to 5 kW. The operation and features of the converter are presented and analyzed. Design guidelines are suggested and experimental validation is also given.Article OutlineNomenclature1. Introduction2. DC/DC converter: operation principle and features. PV and electrolyser electrical models. DC/DC converter design3. Application of a specific development. Initial specifications: photovoltaic array and electrolyser. Device selection. Input and output filters: calculations and realisation. Magnetic design: transformer and inductors. Driving and PWM control circuits4. DC/DC converter simulations and experimental results5. ConclusionsControl and data flow structural testing criteria for aspect-oriented programs Essential communication practices for Extreme Programming in a global software development teamSoftware Technology全球软件开发团队开发超大型程序的交流沟通平台的实践评估We conducted an industrial case study of a distributed team in the USA and the Czech Republic that used Extreme Programming. Our goal was to understand how this globally-distributed team created a successful project in a new problem domain using a methodology that is dependent on informal, face-to-face communication. We collected quantitative and qualitative data and used grounded theory to identify four key factors for communication in globally-distributed XP teams working within a new problem domain. Our study suggests that, if these critical enabling factors are addressed, methodologies dependent on informal communication can be used on global software development projects.Article Outline1. Introduction2. Background and related work. Global software development and requirements engineering practices. Extreme programming. Extreme programming case studies3. Research method4. Team and project description. Team factors. Process factors. Project factors. Project outcome5. Conjectures and recommendations. A definitive customer role for requirements management activities. Bridgehead. Short, asynchronous communication loops. Process visibility and control6. Case study limitations7. ConclusionAcknowledgementsAppendix A. Appendix. Project-specific questionsComparison of control schemes for a fuel cell hybrid tramway integrating twodc/dc convertersInternational Journal of Hydrogen Energy氢发电电流转化附件选用与集成方案的对比分析This paper describes a comparative study of two control schemes for the energy management system of a hybrid tramway powered by a Polymer Electrolyte Membrane (PEM) Fuel Cell (FC) and an Ni-MH battery. The hybrid system was designed for a real surface tramway of 400 kW. It is composed of a PEM FC system with a unidirectional dc/dc boost converter (FC converter) and a rechargeable Ni-MH battery with a bidirectional dc/dc converter (battery converter), both of which are coupled to a traction dc bus. The PEM FC and Ni-MH battery models were designed from commercially available components.The function of the two control architectures was to effectively distribute the power of the electrical sources. One of these control architectures was a state machine control strategy, based on eight states. The other was a cascade control strategy which was used to validate the results obtained. The simulation results for the real driving cycle of the tramway reflected the optimal performance of the control systems compared in this study. Article OutlineNomenclature1. Introduction2. Description of the tramway3. Fuel cell–battery hybrid system. Degree of FC–battery hybridization. Fuel cell. Battery. FC converter. Battery converter. Tramway loads. Braking chopper4. Control strategies for EMS of tramway . State machine control strategy. Cascade control strategy5. Simulation results6. ConclusionAcknowledgements。

柔性制造系统中加工单元控制系统设计

柔性制造系统中加工单元控制系统设计

柔性制造系统中加工单元控制系统设计柔性制造系统(FMS)是一种集成了多种生产设备、控制系统和信息系统的现代化制造系统,具有灵活性、高效性和自适应性的特点。

加工单元作为FMS中的核心组成部分之一,其控制系统的设计对于实现FMS的灵活性和高效性至关重要。

加工单元控制系统设计的目标是实现对加工单元内各个设备的自主协作与协调,以实现FMS中工件在各个设备之间的自动传送和加工。

在加工单元控制系统设计中,需要考虑以下几个方面:1.软硬件结构设计:加工单元控制系统一般由硬件和软件两部分组成。

在硬件设计上,需要选择适合加工单元的各种传感器、执行器和控制器,并将其组合成一个可靠、高效的硬件系统。

在软件设计上,需要编写控制算法和编程代码,以实现对加工单元的自动控制。

2.通信网络设计:加工单元内的各个设备之间需要进行信息的传递和协作。

因此,需要设计一个可靠、高效的通信网络,以实现设备之间的数据交换和控制指令的传递。

3.控制策略设计:加工单元控制系统的控制策略应能够满足FMS的要求,即能够根据各个设备的状态和工件的需求,自主协调和控制工艺过程的进行。

因此,需要设计一个适应动态变化的控制策略,以保证系统的高效性和灵活性。

4.故障检测与处理:在加工单元中,可能会发生各种故障,如设备故障、传感器故障等。

因此,需要设计一套故障检测与处理机制,以实现对故障的及时检测和处理,并保证系统的可靠运行。

5.数据管理与分析:加工单元控制系统应能够对加工过程中产生的数据进行管理和分析,以提高生产效率和质量。

因此,需要设计一个数据管理与分析系统,以实现对数据的存储、查询和分析。

在加工单元控制系统设计中,需要综合考虑以上各个方面,以实现对加工单元的高效控制和管理。

通过合理设计和优化,可以提高FMS的生产效率和灵活性,从而满足不同的生产需求。

智能机器人柔性制造技术实验台操作步骤

智能机器人柔性制造技术实验台操作步骤

智能机器人柔性制造技术实验台操作步骤一、三菱FX2N 可编程及遥控的设定:1、打开气泵、打开电脑、按下PLC上的上电按钮。

2、打开电脑中三菱FX2N 可编程控制器程序3、在该程序中打开PLC下拉菜单选择遥控运行停止中的停止档。

4、再在该程序中打开PLC下拉菜单选择端口设置,将端口设置为COM1;速率设置为19200bp5、再次打开PLC下拉菜单选择遥控运行停止中的运行。

当你确认后:可编程设备上的复位按钮(蓝色的)会闪动;此时按动复位按钮,复位按钮就不闪动了、但是开始按钮开始闪动了、再按动开始按钮各灯均不闪动。

即三菱FX2N 可编程控制器及遥控控制均设定完成。

二、AGV小车设定:1、打开AGV小车上的电源开关(ON)2、看显示屏,调节(UP)上或(DOWN)下按钮,选择(RUN)运行档,按动中间的(OK)档,显示屏会显示为(Remark)3、再按动绿色的(RUN)按钮,显示屏会显示为AGV1;STATION 0即1号小车零号站点。

此时将小车放入零号站点即可。

实验完成后,先按动红色的(RESET)返回建;然后再关机OFF)。

三、组态王软件的调试:1、双击打开MYFMS软件2、双击打开AGV调度系统3、点击用户登录:用户名及密码均为1;点击登陆。

4、软件提示:连接组态王?确定后;当连接成功后软件会给提示连接成功。

确定5点击AGV调度;进入控制画面:注意:串口:COM2 波特率9600bp AGV1 0号站点;自动清除路障6点击连接AGV1 ,若连接上会出现数据代码并且AGV1小车通讯状态不再是红色。

7、点击开始:小车即开始运动。

四、运行过程:1、开始———AGV小车从零号位向一号位运动———到达一号位AGV小车停止2、上料———向AGV小车放货物———点击完成。

3、AGV小车从一号位向三号位运动——到达三号位AGV小车停止。

4、机械手:下——夹——上——左移——下——松——上——右移5、加工单元:工件将在旋转平台上被检测及加工。

自动化柔性制造系统的研究及方案设计方法

自动化柔性制造系统的研究及方案设计方法

自动化柔性制造系统的研究及方案设计方法发布时间:2022-11-22T02:57:27.554Z 来源:《科学与技术》2022年30卷第7月第14期作者:朱孝彬[导读] 柔性制造系统(Flexible Manufacturing System简称FMS)是集微电子技术、计算机技术、通信技术、机械与控制技术于一体的具有高自动化程度的制造系统。

朱孝彬航空工业哈尔滨飞机工业集团有限责任公司黑龙江哈尔滨 150066摘要:柔性制造系统(Flexible Manufacturing System简称FMS)是集微电子技术、计算机技术、通信技术、机械与控制技术于一体的具有高自动化程度的制造系统。

柔性制造系统因其独特的“柔性”和“自动化”特征,在现代制造业中获得了广泛的应用。

关键词:柔性制造系统;机械;自动化;设计引言制造业是国民经济的主体,是立国之本、兴国之器、强国之基。

制造是把原材料变成有用物品的过程,它包括品设计、材料选择、加工生产、质量保证、管理和营销等一系列有内在联系的运作和活动。

制造系统是一个相对的概念,小的如柔性制造单元FMC)、计算机/现代集成制造系统(CIMS),大至一个车间、企业,乃至以某一企业为中心包括其供需链而形成的系统,都可称为“制造系统”。

造系统是人、设备、物料流、能量流、信息流、资金流、制造模式的一个组合体。

制造技术追求的永恒目标之一就是更加有效、充分地利用这些数据、信息、经验和知识,不断提高制造活动的智能水平。

2015年,国务院印发《中国制造2025》,署全面推进实施制造强国战略。

在《中国制造2025》“战略任务和重点”一节中,明确提出“加快推动新一代信息技术与制造技术融合发展把智能制造作为两化深度融合的主攻方;着力发展智能装备和智能产品,推进生产过程智能化;培育新型生产方式,全面提升企业发、生产、管理和服务的智能化水平”。

[1]1.柔性制造系统在我国有关标准中,柔性制造系统被定义为:柔性制造系统是由数控加工设备、物流储运装置和计算机控制系统等组成的自动化制造系统。

智能机床的控制与优化设计

智能机床的控制与优化设计

智能机床的控制与优化设计随着科技的不断发展,智能机床被越来越广泛地应用于制造业中,为人们的生产和学习带来了便利。

智能机床是一种运用计算机、数字控制和传感器技术来实现高度自动化生产的机床,它能够提高生产效率,降低生产成本,提升产品质量。

本文将介绍智能机床的控制技术和优化设计。

一、智能机床的控制技术智能机床的控制技术是指对智能机床进行精准控制、计算、监测和测试的技术,包括软件和硬件两个部分。

1. 控制软件智能机床的控制软件是控制机床运动过程的核心,其基本任务是将设计的机床运动轨迹转换为机床控制系统能够接受的控制信号,并确保机床在运动过程中保持一定的精度和速度。

目前,智能机床控制软件主要有两种类型:数字控制系统和运动控制器。

数字控制系统采用编程方式控制机床运转,可以通过程序修改来实现不同的加工任务;而运动控制器则采用实时控制方式,通过控制处理器对机床的运动进行多轴控制。

2. 控制硬件智能机床的控制硬件主要包括计算机、传感器和执行器三个部分。

其中,计算机负责对机床的运动轨迹进行规划、处理和计算;传感器则用于测量机床的运动状态和工作环境;执行器则负责将计算机处理出的指令转化为机床的实际运动。

二、智能机床的优化设计智能机床的优化设计主要包括机床功能、结构和材料等方面的优化。

1. 机床功能优化智能机床的功能优化是指根据加工件的特点,为机床配备相应的几何形状、运动能力和传动方式,以达到更高效、更精确的加工目的。

例如,针对复杂零件的加工,可以采用五轴联动机床;针对轻薄工件的加工,则可以选择高精度高速车床。

2. 机床结构优化智能机床的结构优化是指通过精心设计机床的结构,降低机床的质量和弯曲刚度,提升加工精度和稳定性。

例如,可以采用板式机床代替传统的床式机床,或者增加支承方式,从而提高机床的抗震性能和承载能力。

3. 机床材料优化智能机床的材料优化是指选用具有优异性能、可加工性好、耐热衰减和耐蚀性能强的合金材料,以提高机床的使用寿命和加工精度。

基于CNC机床的柔性制造系统的研究与实践

基于CNC机床的柔性制造系统的研究与实践

基于CNC机床的柔性制造系统的研究与实践随着现代工业的快速发展,柔性制造系统在制造业中发挥着重要的作用。

CNC(Computer Numerical Control,计算机数控)机床作为柔性制造系统的重要组成部分,被广泛应用于各个行业。

本文将探讨基于CNC机床的柔性制造系统的研究与实践,旨在提升制造业的运作效率和灵活性。

一、CNC机床的概述及发展CNC机床是利用计算机控制的自动化设备,通过预先编程的指令来控制机床的运动和加工过程。

相较于传统的机床,CNC机床不仅具有高精度和高效率的加工能力,更重要的是它的灵活性和自动化程度。

CNC机床的发展经历了几个阶段。

20世纪50年代到70年代初,CNC机床仅用于单一的加工任务,如钻孔、铣削等。

然而,随着计算机技术和数字控制技术的不断进步,CNC机床的功能逐渐扩展,加工范围得到了极大的扩展,可以满足更加复杂和多样化的加工需求。

二、柔性制造系统的定义和特点柔性制造系统(Flexible Manufacturing System,FMS)是一种高度自动化且具有灵活性的制造系统,能够根据市场需求快速调整生产线的布局和工艺流程。

柔性制造系统通常由多个CNC机床、自动化输送装置和计算机控制系统组成。

柔性制造系统的特点包括:首先,具有快速切换和调整能力,可以按照不同产品的要求进行生产。

其次,具备高度自动化的生产能力,能够降低人工成本,提高生产效率和产品质量。

此外,柔性制造系统还具有生产过程可追溯、资源利用率高、产品个性化程度高等特点。

三、基于CNC机床的柔性制造系统的实践案例1. 案例一:汽车零部件生产一家汽车零部件制造企业引入了基于CNC机床的柔性制造系统,通过与传感器和自动化输送系统的连接,实现了整个生产过程的自动化控制。

该企业可以根据不同的汽车型号和市场需求,快速切换生产线的配置和工艺流程。

这极大地提高了企业的生产效率,并且减少了因传统生产方式带来的人力资源浪费。

数字化柔性智能制造系统在机床加工行业中的应用

数字化柔性智能制造系统在机床加工行业中的应用

Abstract: According to the digital flexible intelligent machine tool processing industry in the manufacturing systemꎬ constructs the physical structure of the whole system and gives the detailed design of workshop manage ̄ ment and control systemꎬ intelligent logistics systemꎬ three flexible digital processing units������ By sensorsꎬ radio frequency identification ( RFID) device operationꎬ need to monitorꎬ connectionꎬ interactive toolsꎬ materialsꎬ logistics trolleyꎬ machine toolsꎬ gages real-time workshopꎬ and information of all kinds of lo ̄ gistics process and processing needsꎬ flexible intelligent manufacturing system of digital form and the combination of Internet and build a local workshop net������ In order to realize intelligent identificationꎬ posi ̄ tioningꎬ trackingꎬ monitoring and management of plant materialꎬ waterꎬ electrical machine production scheduleꎬ process parametersꎬ qualityꎬ environment and so on various kinds of factors of productionꎬ management automationꎬ intelligent������ Finallyꎬ the specific application interface and conclusion of the sys ̄ tem are given������

一种柔性数控加工智能制造单元的设计与应用

一种柔性数控加工智能制造单元的设计与应用

一种柔性数控加工智能制造单元的设计与应用发布时间:2023-05-22T03:18:34.434Z 来源:《科技潮》2023年7期作者:何树洋[导读] 传统的机床需要繁重的体力劳动,并且对人员的操作技能水平极高,而数控机床作为工作母机,数控技术不仅赋予机床一个大脑,使机床变得越来越“聪明”。

广州数控设备有限公司广州 510530摘要:介绍了一种柔性切削加工智能制造单元的设计与实现。

首先通过数控加工技术的特点以及现状,以某校办工厂企业设备改造升级需求为案例,对某轴类和端盖类小批量零件加工基本工艺流程进行分析,介绍柔性数控加工智能制造单元的设计和应用,并对系统的控制原理进行详细阐述,深入分析工业机器人、加工设备、PLC控制器、MES计算机之间的通讯结构和通讯方式。

然后详细介绍工业机器人主程序、料仓取放料程序、机床上下料程序的基本控制流程。

最后证明智能制造单元可通过网络协同方式实现柔性制造。

关键词:柔性加工;智能制造;工业机器人引言传统的机床需要繁重的体力劳动,并且对人员的操作技能水平极高,而数控机床作为工作母机,数控技术不仅赋予机床一个大脑,使机床变得越来越“聪明”。

数控技术也已经从被动执行运动指令发展到能够“感知”机床的温度、振动、能耗等工况并加以调整和控制,通过配套传感技术以及检测系统可以实现在线测量工件尺寸、刀具破损和预测刀具寿命,以及防止刀具和运动部件干涉,甚至为操作者进行语音导航或发送短消息。

数控机床具备智能化功能可以保证机床自动适应加工环境的变化,从而使机床操作更加便利,精度更加稳定,效率更加提升。

显而易见,设备数字化、网络化、智能化具有极为重要的现实意义。

1数控加工技术的特点以及现状1.1数控加工技术的特点数控加工技术是一种以软件编程技术为核心的自动化控制加工生产技术[1]。

首先,数控加工技术可以加工各种形状的零件,即使是一些带有不规则斜角的零件或形状更复杂的零件,也可以采用数控加工技术完成精密加工。

柔性制造系统FMS方案

柔性制造系统FMS方案

柔性制造系统(FMS)方案一、建设目标采用工业标准的主流设备和器件,以真实工程零件为加工对象,构建一个企业型的高精度、高可靠性与高安全性的柔性制造生产、教学平台。

二、功能要求1. 加工对象:以工程零件为加工对象,在该系统下能实现转向螺母的全自动加工,加工的零件符合图纸的各项精度指标要求。

同时,该系统还能完成同类型5-6个真实零件的加工。

2. 操作模式:具有“联机/单机”两种操作模式,可单机训练也可整体控制。

即系统中的每个加工执行单元(物流传输线、机器人、立体仓储、检测设备等)既能独立完成加工,利于学生的参与;又能联机自动加工,生产出合格的零件。

3. 软硬件接口:系统具备开放兼容的软硬件接口,在每个控制电控柜单元都留有扩展接口,以便系统有条件通过外接其它品牌的PLC 或单片机对系统进行控制与通讯。

整套系统从软、硬件到结构都具有很强的开放性,便于扩展更多模块或外接外部工业设备。

4. 管理模式:采用数字化系统管理模式,每一台设备均采用网络型式对外联接,由服务器统一管理生产过程当中的各种数字联接任务,具有现代化柔性制造加工系统的特征,可进行小批量多品种柔性加工、无人值守加工。

5. 硬件性能:核心元器件均采用进口知名品牌,如机器人、可编程控制器、变频器、视觉系统、传感器、气动原件、伺服电机、继电器、人机界面、滚珠丝杠、直线导轨等,以确保设备的高精度、可靠性与安全性。

系统可以最终实现从综合控制监控中心、加工装配自动线、检测分拣系统、到最终的整套物流循环系统功能。

可将大型现代化制造自动化现场的技术应用与工程项目完整涵盖。

三、加工零件及技术要求图1 零件图1图2 零件图2图3 加工部位示意图零件外径尺寸基本在Φ50-Φ200之间,长度在80-200之间,材料为20CrMnTi。

(导管孔、螺旋滚道不加工)加工工艺表(人工单台数控机床加工用,仅供编排全自动加工工艺时参考)工序1工序2工序3工序7四、课程建设要求该项目能满足传感器的原理及运用、生产自动化及制造系统、机电传动与控制、液气压传动、电气控制及PLC、工业机器人、计算机辅助设计及制造、数控技术、自动化仓储物流技术、现场总线控制等实践课程教学需要。

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Adaptive fuzzy logic controller for DC–DC convertersExpert Systems with ApplicationsThis paper introduces a complete design method to construct an adaptive fuzzy logic controller (AFLC) for DC–DC converter. In a conventional fuzzy logic controller (FLC), knowledge on the system supplied by an expert is required for developing membership functions (parameters) and control rules. The proposed AFLC, on the other hand, do not required expert for making parameters and control rules. Instead, parameters and rules are generated using a model data file, which contains summary of input–output pairs. The FLC use Mamdani type fuzzy logic controllers for the defuzzification strategy and inference operators. The proposed controller is designed and verified by digital computer simulation and then implemented for buck, boost and buck–boost converters by using an 8-bit microcontroller.Article Outline1. Introduction2. Basic design of adaptive fuzzy logic controller3. Adaptation algorithm for the fuzzy logic controller4. Computer simulation of the AFLC5. Implementation of the AFLC with microcontroller6. ConclusionCommissioning of textor CC, the new TEXTOR control system and first operating experiences Fusion Engineering and DesignThe old TEXTOR control systems have successfully been updated. The machine control has replaced by textor CC, a solution based on the software package WinCC produced by Siemens. WinCC, and therefore textor CC, can be easily integrated with the already available Siemens S5/S7 hardware components. This new system has the advantage that it is based on industrial soft- and hardware , the lifetime of the control system is extended and the maintenance effort is reduced. The installation and commissioning of the new control system was done in parallel to TEXTOR operation. During this time each function was tested and compared with the actual TEXTOR data. All functionality of the former control system was step-by-step replaced. Special attention was given to the visualization, data and error logging. The machine control timing system has been replaced by an in house development in partnership with Siemens. It consists of transmitters and receivers based on PROFIBUS modulesand is fully compatible with the pre-existing timing infrastructure. The old programmable function generator (PFG) has been replaced by compact RIO modules, controlled and programmed by Labview. This new PFG system allows to program up to 84 different time dependent signals. In this paper we intent to present a more detailed overview of our, on WinCC-based work, and a first status report on this new control system for TEXTOR. Article Outline1. Introduction2. Replacement of critical items. Old S3 PLC-components. Programmable function generator. Timing2.3.1. Code generation2.3.2. Modules2.3.3. Software, Step7, WinCC3. textor CC4. Conclusion and outlookReferencesApplication of PLC to dynamic control system for liquid He cryogenic pumping facility on JT-60U NBI systemThe control system of the cryogenic facility in the JT-60 NBI system has been replaced by employing the PLC (Programmable Logic Controller) and SCADA (Supervisory Control And Data Acquisition) system. The original control system was constructed about 20 years ago by specifying the DCS (Distributed Control System) computer to deal with 400 feedback loops. Recently, troubles on this control system have increased due to itsage-induced deterioration. To maintain the high reliability of the cryogenic facility, a new control system has been planned with the PLC and SCADA systems. Their attractive features include high market availability and cost-effectiveness, however, the use of PLC for such a large facility with 400 feedback loops has not been established because of insufficient processing capability of the early PLC. Meanwhile, the recent progress in the PLC enables to use the FBD (function block diagram) programming language for 500 function blocks. By optimizing the function blocks and connecting them in the FBD language, the feedback loops have beensuccessfully replaced from DCS to PLC without a software developer. Moreover, an oscillation of the liquid He level, which often occurs during the cooldown mode of the cryopumps, can be automatically stabilized by easily adding a new process program in the PLC. At present, the new control system has worked well.Article Outline1. Introduction2. Cryogenic facility for NBI system3. PLC based control system. Design concept. Construction of PLC based control system4. Operational results5. SummaryReferencesThe ECAL online software in the commissioning of the CMS detectorNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated EquipmentThe Electromagnetic Calorimeter (ECAL) of the Compact Muon Solenoid (CMS) detector at the CERN Large Hadron Collider (LHC) is a crystal homogeneous calorimeter made of about 76000 lead tungstate crystals.The detector was installed in the CMS experimental cavern in 2007 and 2008 and was commissioned with cosmic rays and with LHC beams in 2008.The trigger and data acquisition system of the CMS ECAL comprises 35000 Front End ASICs and 170 Off Detector VME Boards. The operation of the system, performed by the ECAL online software, requires the configuration of O(107) parameters and the realtime monitoring of O(105) registers.In this paper we discuss the design and architecture of the ECAL online software and its performances in cosmic ray runs and with the first LHC beams.Article Outline1. Introduction2. Architecture of the CMS ECAL DAQ system3. Role and performances of the ECAL online software in the commissioning of the CMS Electromagnetic Calorimeter4. ConclusionsAcknowledgementsCurrent sharing of paralleled DC–DC converters using GA-based PID controllersWe demonstrate a concept for pulse-width modulation (PWM) control of a parallel DC–DC buck converter, which eliminates the need for multiple physical connections of gating/PWM signals among the distributed converter modules. The proposed control concept may lead to easier distributed control implementation of parallel DC–DC converters and distributed power systems.For equipment with significant power requirement, the traditional single power supply may not be adequate. Many power supplies with parallel regulation control can be used to solve this problem. This paper proposes a Proportional-Integral-Derivative (PID) controller to control paralleled DC–DC buck converters and current sharing is achieved. A genetic algorithm (GA) is employed to derive optimal or near optimal PID controller gains. Both simulations and experimental results are provided to verify the theoretical analysis through an experimental prototype of paralleled DC–DC buck converters.Article Outline1. Introduction2. A GA-based PID controller design3. Stability analysis4. Experimental results. Simulation results. Experimental results5. ConclusionsAcknowledgementsIntegrated modeling and control of a PEM fuel cell power system with a PWM DC/DC converter Power Sources A fuel cell powered system is regarded as a high current and low voltage source. To boost the output voltage of a fuel cell, a DC/DC converter is employed. Since these two systems show different dynamics, they need to be coordinated to meet the demand of a load. This paper proposes models for the two systems with associated controls, which take into account a PEM fuel cell stack with air supply and thermal systems, and a PWM DC/DC converter. The integrated simulation facilitates optimization of the power control strategy, and analyses of interrelated effects between the electric load and the temperature of cell components. In addition, the results show that the proposed power control can coordinate the two sources with improved dynamics and efficiency at a given dynamic load.Article OutlineNomenclature1. Introduction2. Modeling of a fuel cell stack, air supply and thermal circuit. PEM fuel cell stack2.1.1. Model improvement for the stack2.1.2. Parameters and simulation. Air supply system. Thermal system. Controls for the air and coolant flow rate3. DC/DC converter4. Power control of the PEM fuel cell system with the DC/DC converter5. Integration and simulation6. ConclusionAcknowledgementsReferencesInterleaved soft-switched active-clamped L–L type current-fed half-bridge DC–DC converter for fuel cell applicationsInternational Journal of Hydrogen EnergyIn this paper, an interleaved soft-switched active-clamped L–L type current-fed half-bridge isolated dc–dc converter has been proposed. The L–L type active-clamped current-fed converter is able to maintain zero-voltage switching (ZVS) of all switches for the complete operating range of wide fuel cell stack voltage variation at full load down to light load conditions. Active-clamped circuit absorbs the turn-off voltage spike across the switches. Half-bridge topology maintains higher efficiency due to lower conduction losses. Soft-switching permits higher switching frequency operation, reducing the size, weight and cost of the magnetic components. Interleaving of the two isolated converters is done using parallel input series output approach and phase-shifted modulation is adopted. It reduces the input current ripple at the fuel cell input, which is required in a fuel cell system and also reduces the output voltage ripples. In addition, the size of the magnetic/passive components, current rating of the switches and voltage ratings of the rectifier diodes are reduced.Article Outline1. Introduction2. Operation and steady-state analysis3. Design, performance and simulation results4. Conclusion and summaryAppendix. Converter designReferencesDevelopment and commissioning results of the KSTAR discharge control systemThe Korea Superconducting Tokamak Advanced Research (KSTAR) control system has been developed as a network-based distributed control system composed of several sub-systems. There are many local control systems for various sub-systems, and the central control system includes discharge control, machine control, and safety interlocks which aim for integrated control of the entire system. We have chosen the Experimental Physics and Industrial Control System (EPICS) as the middleware of the KSTAR control system because EPICS provides a software framework to integrate heterogeneous systems. The discharge control system, which is implemented in a part of the supervisory control system, performs the discharge sequence execution. The plasma control system,which has been implemented with general atomics and modified for KSTAR, is involved in the discharge control. The plasma control system performs real-time plasma control algorithms and provides the results of the control algorithms to the magnet power supplies. We are using a reflective memory-based real-time network for communication between the plasma control system and the magnet power supplies, thus we developed a fully digital control for the magnet power supplies. We have implemented the discharge control system with state notation language (SNL) in EPICS and also developed interface software among the sub-systems. We will present the details of the development of the KSTAR discharge control system and commissioning results.Article Outline1. Introduction2. Discharge control system3. Implementations4. The results of commissioning and operationAcknowledgementsReferencesBeam-commissioning study of high-intensity accelerators using virtual accelerator modelIn order to control large-scale accelerators efficiently, a control system with a virtual accelerator model was constructed. The virtual accelerator (VA) is an on-line beam simulator provided with a beam monitor scheme. The VA is based upon the Experimental Physics and Industrial Control System (EPICS) and is configured under the EPICS input/output controller (IOC) in parallel with a real accelerator (RA). Thus, the machine operator can access the parameters of the RA through the channel access client and then feed them to the VA, and vice versa. Such a control scheme facilitates developments of the commissioning tools, feasibility study of the proposed accelerator parameters and examination of the measured accelerator data. This paper describes the beam commissioning results and activities by using the VA at the J-PARC 3-GeV rapid-cycling synchrotron (RCS).Article Outline1. Introduction2. EPICS control system and the VA. EPICS control system. Construction of VA system3. Beam commissioning by the VA. Betatron tune. Chromaticity. Commissioning tool for injection line. BPM polarity. Optics correction4. Discussion5. SummaryAcknowledgementsThe commissioning and the first operational experiences of the CMS RPC detector control system at LHCThe CMS Resistive Plate Chambers (RPC) system consists of 912 double-gap chambers. The challenging constrains on the design and operation of this system imposed the development of a complex Detector Control System to assure the operational stability and reliability of a so large and complex detector and trigger system . The final layout and functionality of the CMS RPC DCS as well as the operational experience during the detector's commissioning and first phase of LHC operation are presented here.Article Outline1. Introduction2. The RCS low-level layers: description and performances. The RPC power supply system. RPC environmental and front-end electronics monitoring. Gas and external systems monitoring3. The RCS software layers. RCS supervisor architecture. The RPC supervisor GUI4. Commissioning with cosmic rays and pp collisionsSoftware architecture awareness in long-term software product evolutionSystems and SoftwareSoftware architecture has been established in software engineering for almost 40 years. When developing and evolving software products, architecture is expected to be even more relevant compared to contract development. However, the research results seem not to have influenced the development practice around software products very much. The architecture often only exists implicitly in discussions that accompany the development. Nonetheless many of the software products have been used for over 10, or even 20 years. How do development teams manage to accommodate changing needs and at the same time maintain the quality of the product In order to answer this question, grounded theory study based on 15 semi-structured interviews was conducted in order to find out about the wide spectrum of architecture practices in software product developing organisations. Our results indicate that a chief architect or central developer acts as a ‘walking architecture’ devising changes and discussing local designs while at the same time updating his own knowledge about problematic aspects that need to be addressed. Architecture documentation and representations might not be used, especially if they replace the feedback from on-going developments into the ‘architecturing’ practices. Referring to results from Computer Supported Cooperative Work, we discuss how explicating the existing architecture needs to be complemented by social protocols to support the communication and knowledge sharing processes of the ‘walking architecture’.Article Outline1. Introduction2. Architecture, knowledge, and awareness. Software architecture. The role of the software architect. Software product evolution and architecture. Knowledge management. Awareness in software engineering3. Research methodology. Grounded theory. Analytic process. Confidence4. The companies and their architectural practice. Interviewees and organisation profiles. The presence of software architecture5. Analysis of interviews. Architecture: who needs it and at what level. Documentation5.2.1. Code base as actual documentation5.2.2. The absence of a document. Architecture knowledge acquisition: how newcomers learn the architecture 5.3.1. Discussion with a chief architect5.3.2. Intermixed with programming5.3.3. Learning by doing. The role of a chief architect5.4.1. Controlling and communicating architecture within a development team 5.4.2. Updating the ‘walking architecture’5.4.3. Interfacing to outward. Communication about changes5.5.1. Meeting5.5.2. Nightly builds and testing5.5.3. Concurrent versions system (CVS) and subversion repository5.5.4. Rich IDE5.5.5. Code review5.5.6. Wiki. Evolution and changes. The problems of the practitioners6. Discussion. Architecture awareness is achieved through ‘walking architecture’ practices. Good reasons for bad documentation. How to promote architecture awareness7. ConclusionsAcknowledgementsReferencesTime delay control for fuel cells with bidirectional DC/DC converter and battery International Journal of Hydrogen Energy氢能源的电池组及其电子配件交流直流转化与驱动Transient behavior is a key property in the vehicular application of proton exchange membrane (PEM) fuel cells.A better control technology is constructed to increase the transient performance of PEM fuel cells. A steady-state isothermal analytical fuel cell model is constructed to analyze mass transfer and water transport in the membrane. To prevent the starvation of air in the PEM fuel cell, time delay control is used to regulate the optimum stoichiometric amount of oxygen, although dynamic fluctuations exist in the PEM fuel cell power. A bidirectional DC/DC converter connects the battery to the DC link to manage the power distribution between the fuel cell and the battery. Dynamic evolution control (DEC) allows for adequate pulse-width modulation (PWM) control of the bidirectional DC/DC converter with fast response. Matlab/Simulink/Simpower simulation is performed to validate the proposed methodology, increase the transient performance of the PEM fuel cell system and satisfy the requirement of energy management.Article Outline1. Introduction2. Fuel cell system model. PEM fuel cell stack. Airflow system. Hydrogen flow system3. Flow control. Feedfoward control. TDC3.2.1. TDC compensator design3.2.2. TDC observer design4. Bidirectional DC–DC converter. Bidirectional DC/DC converter topology. Dynamic evolution control (DEC)5. Simulation results and analysis6. ConclusionAcknowledgementsA control-theoretic approach to the management of the software system test phaseA quantitative, adaptive process control technique is described using an industrially validated model of the software system test phase (STP) as the concrete target to be controlled. The technique combines the use of parameter correction and Model Predictive Control to overcome the problems induced by modeling errors, parameter estimation errors, and limits on the resources available for productivity improvement.We present an example of the technique applied to data from the execution of the STP of a commercial software development effort at a large software manufacturer. The example shows that the control technique successfully achieves the schedule and quality objectives despite uncertainty in the estimation of the model parameters. Article Outline1. Introduction. Contributions. Organization2. Related work. Software testing. Software process control. Software process modeling. Software cybernetics3. State model of the STP4. Problems of modeling. Errors in the model. Errors in the parameters5. Control objectives6. A model predictive control approach. Retrain the model. Linearize the model about the nominal trajectory. Discretize the linearized model. Solve an optimal control problem with the discretized model. Implement the control suggestions7. Benefits of optimal control with constraints8. Choosing the cost matrices9. An illustrated example10. Applying the approach in practice11. Parameter identification. The original calibration algorithm11.1.1. Estimating ζ and ξ11.1.2. Estimating x011.1.3. Re-estimating x011.1.4. Re-estimating ζ and ξ. An alternative calibration algorithm11.2.1. Simulation11.2.2. Pre-fit data smoothing. Assessment of the technique12. Conclusions and future workAcknowledgementsReferences5kW级DC/DC converter for hydrogen generation from photovoltaic sources 五千瓦直流整流/稳压逆变器/变压器在氢能与太阳能发电站的运用This paper covers the design of a DC–DC power converter aimed for hydrogen production from photovoltaic sources. Power conditioning for such application is usually driven by different constraints: high step-down conversion ratio is required if the input voltage of such equipment has to be compatible with photovoltaic sources that are connected to grid-connected inverters; galvanic isolation; high efficiency and low mass. Taking into account those factors, this work proposes a push–pull DC/DC converter for power levels up to 5kW. The operation and features of the converter are presented and analyzed. Design guidelines are suggested and experimental validation is also given.Article OutlineNomenclature1. Introduction2. DC/DC converter: operation principle and features. PV and electrolyser electrical models. DC/DC converter design3. Application of a specific development. Initial specifications: photovoltaic array and electrolyser. Device selection. Input and output filters: calculations and realisation. Magnetic design: transformer and inductors. Driving and PWM control circuits4. DC/DC converter simulations and experimental results5. ConclusionsControl and data flow structural testing criteria for aspect-oriented programsEssential communication practices for Extreme Programming in a global software development teamSoftware Technology全球软件开发团队开发超大型程序的交流沟通平台的实践评估We conducted an industrial case study of a distributed team in the USA and the Czech Republic that used Extreme Programming. Our goal was to understand how this globally-distributed team created a successful project in a new problem domain using a methodology that is dependent on informal, face-to-face communication. We collected quantitative and qualitative data and used grounded theory to identify four key factors for communication in globally-distributed XP teams working within a new problem domain. Our study suggests that, if these critical enabling factors are addressed, methodologies dependent on informal communication can be used on global software development projects.Article Outline1. Introduction2. Background and related work. Global software development and requirements engineering practices. Extreme programming. Extreme programming case studies3. Research method4. Team and project description. Team factors. Process factors. Project factors. Project outcome5. Conjectures and recommendations. A definitive customer role for requirements management activities. Bridgehead. Short, asynchronous communication loops. Process visibility and control6. Case study limitations7. ConclusionAcknowledgementsAppendix A. Appendix. Project-specific questionsComparison of control schemes for a fuel cell hybrid tramway integrating two dc/dc converters International Journal of Hydrogen Energy氢发电电流转化附件选用与集成方案的对比分析This paper describes a comparative study of two control schemes for the energy management system of a hybrid tramway powered by a Polymer Electrolyte Membrane (PEM) Fuel Cell (FC) and an Ni-MH battery. The hybrid system was designed for a real surface tramway of 400kW. It is composed of a PEM FC system with a unidirectional dc/dc boost converter (FC converter) and a rechargeable Ni-MH battery with a bidirectional dc/dc converter (battery converter), both of which are coupled to a traction dc bus. The PEM FC and Ni-MH battery models were designed from commercially available components.The function of the two control architectures was to effectively distribute the power of the electrical sources. One of these control architectures was a state machine control strategy, based on eight states. The other was a cascade control strategy which was used to validate the results obtained. The simulation results for the real driving cycle of the tramway reflected the optimal performance of the control systems compared in this study. Article OutlineNomenclature1. Introduction2. Description of the tramway3. Fuel cell–battery hybrid system. Degree of FC–battery hybridization. Fuel cell. Battery. FC converter. Battery converter. Tramway loads. Braking chopper4. Control strategies for EMS of tramway. State machine control strategy . Cascade control strategy5. Simulation results6. Conclusion Acknowledgements。

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