摘要

摘要
模糊控制属于智能控制的一种，是以模糊集合论、模糊语言变量和模糊逻辑推理为基础的一种计算机数字控制技术。

它是由美国加利福尼亚大学L.A.Zaden教授提出的。

1965年美国扎德创立了模糊集合论，8年后他给出了模糊逻辑控制的定义和定理。

2年之后英国Mamdani首先用模糊控制语句组成模糊控制器并把它运用于锅炉和蒸汽机的控制，这成果标志着模糊控制论的诞生。

模糊控制系统主要是一种模拟人的思维、推理和判断的控制方法。

模糊控制将人的经验、常识等用自然语言的方式展现出来，建立一种用于计算机处理的模型。

模糊PID控制适用于数学模型不确定、非线性的控制对象，模糊PID控制鲁棒性较好（即对被控对象的时滞非线性和时变性具有一定的适应能力，同时对噪声也有较强的抑制作用）且算法简单，因此广泛应用于过程控制和运动控制中。

而且模糊控制是智能控制的一个重要研究领域。

模糊PID控制器在工业生产中有着举足轻重的地位。

模糊PID控制不但精度高且模糊控制灵活、适应性强，推动使传统工业控制技术不断向前发展。

Abstract
Fuzzy control is a kind of intelligent control, based on fuzzy set theory, fuzzy language variable and fuzzy logic reasoning based on a computer numerical control technology. It was put forward by Professor L.A.Zaden of University of California USA. In 1965 USA Zadeh started fuzzy set theory, he gives the definitions and theorems of fuzzy logic control after 8 years. 2 years after the British Mamdani first used the fuzzy control statement fuzzy controller and use it in control of boiler and steam engine, the achievement marks the birth of fuzzy control theory.
Fuzzy control system is a control method for the simulation of thinking, reasoning and judgment. Fuzzy control of the human experience, knowledge in natural language to show the way out, to establish a model for computer processing.
The control object of fuzzy PID control for model uncertainty, nonlinear, fuzzy PID control has better robustness (Nonlinear and time-varying of the object with a certain ability to adapt, but also had strong inhibitory effects on noise) and the algorithm is simple, so widely used in process control and motion control. And the fuzzy control is an important research area of intelligent control.
The fuzzy PID controller play a decisive role in industrial production. Fuzzy PID control not only high precision flexible, adaptable, promote the traditional industry development technology control.。