TI感应电机无速度传感器FOC详解

TI感应电机无速度传感器FOC详解
TI感应电机无速度传感器FOC详解

Application Report
SPRABQ0 – October 2013
Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
Manish Bhardwaj ABSTRACT This application report presents a solution to control an AC induction motor using floating point TMS320F2833x microcontrollers. TMS320F2833x devices are part of the family of C2000? microcontrollers which enable cost-effective design of intelligent controllers for three phase motors by reducing the system components and increase efficiency. With these devices it is possible to realize far more precise digital vector control algorithms like Field Orientated Control (FOC). This algorithm’s implementation is discussed in this document using TI’s Digital Motor Control (DMC) Library. The FOC algorithm maintains efficiency in a wide range of speeds and takes into consideration torque changes with transient phases by processing a dynamic model of the motor. Among the solutions proposed are ways to eliminate the phase current sensors and use an observer for speed sensorless control. The DMC Library uses TI’s IQ math library, which supports both fixed and floating point maths. This makes migrating from floating to fixed point devices easy. A configuration for TMS320F2803x, which is a fixed point microcontroller, is available in the project to highlight this. This application report covers the following: ? A theoretical background on field oriented motor control principle. ? Incremental build levels based on modular software blocks ? Experimental results
1 2 3 4 5 6 7 8
Contents Introduction .................................................................................................................. 3 Induction Motors ............................................................................................................ 4 Field Oriented Control ...................................................................................................... 6 Benefits of 32-Bit C2000 Controllers for Digital Motor Control (DMC) ............................................. 12 TI Literature and Digital Motor Control (DMC) Library ................................................................ 13 Hardware Configuration (HVDMC R1.1 Kit) ........................................................................... 17 Incremental System Build for ACI Sensorless Project ................................................................ 21 References ................................................................................................................. 43 List of Figures
1 2 3 4 5 6 7 8 9
...................................................................................................... Squirrel Cage Rotor AC Induction Motor Cutaway View............................................................... Separated Excitation DC Motor Model ................................................................................... Stator Current Space Vector and Its Component in (a,b,c) ........................................................... Stator Current Space Vector and Its Component in the Stationary Reference Frame ............................ Stator Current Space Vector and Its Component in (α, β) and in the d,q Rotating Reference Frame .......... Basic Scheme of FOC for ACI Motor .....................................................................................
Induction Motor Rotor Current, Voltage and Rotor Flux Space Vectors in the d,q Rotating Reference Frame and Their Relationship With a,b,c and (α, β) Stationary Reference Frame .................................................... Overall Block Diagram ....................................................................................................
4 5 6 7 8 8 9 10 11
C2000, Code Composer Studio are trademarks of Texas Instruments. Windows is a registered trademark of Microsoft Corporation. All other trademarks are the property of their respective owners. SPRABQ0 – October 2013 Submit Documentation Feedback Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
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10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31
A 3-ph Induction Motor Drive Implementation ......................................................................... Software Flow ..............................................................................................................
15 16 18 19 20 22 23 24 25 26 27 28 30 32 33 34 37 38 40 40 41 42
......................................................................... Using External DC Power Supply to Generate DC-Bus for the Inverter ........................................... Watch Window Variables ................................................................................................. SVGEN Duty Cycle Outputs Ta, Tb, Tc and Tb-Tc ................................................................... DAC-1-4 Outputs Showing Ta, Tb, Tc and Tb-Tc Waveforms ...................................................... Level 1 — Incremental System Build Block Diagram ................................................................. Calculated Phase A and B Voltages By Volt1 Module, rg1.Out, and svgen_dq1.Ta ............................. The Waveforms of Phase A Voltage and Current and Phase B Voltage and Current ........................... Amplified Phase A Current ............................................................................................... Level 2 — Incremental System Build Block Diagram ................................................................. Svgen_dq1.Ta, Phase A Voltage, and Phase A and B Current Waveforms ...................................... Level 3 — Incremental System Build Block Diagram ................................................................. Estimated d and q Fluxes With Estimated Theta and Phase A Current Waveform .............................. Level 4 — Incremental System Build Block Diagram ................................................................. Level 5A — Incremental System Build Block Diagram ............................................................... Level 5B — Incremental System Build Block Diagram ............................................................... Phase A and B Current With Estimated Theta and Phase A Voltage Waveforms ............................... Flux and Torque Components of the Stator Current in the Synchronous Reference Frame .................... Level 6A — Incremental System Build Block Diagram ............................................................... Level 6B — Incremental System Build Block Diagram ...............................................................
Using AC Power to Generate DC Bus Power List of Tables Testing Modules in Each Incremental System Build
1
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21
2
Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
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Introduction
1
Introduction
The motor control industry is a strong, aggressive sector. To remain competitive new products must address several design constraints including cost reduction, power consumption reduction, power factor correction, and reduced EMI radiation. In order to meet these challenges advanced control algorithms are necessary. Embedded control technology allows both a high level of performance and system cost reduction to be achieved. According to market analysis, the majority of industrial motor applications use AC induction motors. The reasons for this are higher robustness, higher reliability, lower prices and higher efficiency (up to 80%) on comparison with other motor types. However, the use of induction motors is challenging because of its complex mathematical model, its non linear behavior during saturation and the electrical parameter oscillation which depends on the physical influence of temperature. These factors make the control of induction motor complex and call for use of a high performance control algorithms such as “vector control” and a powerful microcontroller to execute this algorithm. During the last few decades the field of controlled electrical drives has undergone rapid expansion due mainly to the benefits of microcontrollers. These technological improvements have enabled the development of very effective AC drive control with lower power dissipation hardware and more accurate control structures. The electrical drive controls become more accurate in the sense that not only are the DC quantities controlled but also the three phase AC currents and voltages are managed by so-called vector controls. This document briefly describes the implementation of the most efficient form of a vector control scheme: the Field Orientated Control (FOC) method. The FOC method is based on three major points: ? Machine current and voltage space vectors ? The transformation of a three-phase speed- and time-dependent system into a two coordinate time invariant system ? Effective Space Vector Pulse Width Modulation pattern generation These algorithms allow the control of an AC machine to acquire every advantage of DC machine control and free itself from mechanical commutation drawbacks. Furthermore, this control structure, by achieving a very accurate steady state and transient control, leads to high dynamic performance in terms of response times and power conversion.
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Induction Motors
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2
Induction Motors
Induction motors derive their name from the way the rotor magnetic field is created. The rotating stator magnetic field induces currents in the short circuited rotor. These currents produce the rotor magnetic field, which interacts with the stator magnetic field, and produces torque, which is the useful mechanical output of the machine. The three phase squirrel cage AC induction motor is the most widely used motor. The bars forming the conductors along the rotor axis are connected by a thick metal ring at the ends, resulting in a short circuit as shown in Figure 1. The sinusoidal stator phase currents fed in the stator coils create a magnetic field rotating at the speed of the stator frequency (ωs). The changing field induces a current in the cage conductors, which results in the creation of a second magnetic field around the rotor wires. As a consequence of the forces created by the interaction of these two fields, the rotor experiences a torque and starts rotating in the direction of the stator field.
Skewed Cage Bars End Rings
Figure 1. Induction Motor Rotor As the rotor begins to speed up and approach the synchronous speed of the stator magnetic field, the relative speed between the rotor and the stator flux decreases, decreasing the induced voltage in the stator and reducing the energy converted to torque. This causes the torque production to drop off, and the motor will reach a steady state at a point where the load torque is matched with the motor torque. This point is an equilibrium reached depending on the instantaneous loading of the motor. In brief: ? Since the induction mechanism needs a relative difference between the motor speed and the stator flux speed, the induction motor rotates at a frequency near, but less than, that of the synchronous speed. ? This slip must be present, even when operating in a field-oriented control regime. ? The rotor in an induction motor is not externally excited. This means that there is no need for slip rings and brushes. This makes the induction motor robust, inexpensive and need less maintenance. ? Torque production is governed by the angle formed between the rotor and the stator magnetic fluxes. In Figure 2 the rotor speed is denoted by Ω. Stator and rotor frequencies are linked by a parameter called the slip s, expressed in per unit as s = (ωs - ωr) / ωs.
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Rotor rotation
Induction Motors
ia
A’
W Stator flux
C’
B
WS Rotor flux
C B’ A
WR
Aluminum bar
Figure 2. Squirrel Cage Rotor AC Induction Motor Cutaway View
ìw : AC supply freq (rad / s )ü ? ? ×í s y ? ? p : stator poles pairs number ? t w · Rotor rotating speed (rad / s ) : W = (1 - s ) W = (1 - s ) s p s
s s s s
w · Stator rotating field speed (rad / s ) : W = s p s
where s is called the “slip”: it represents the difference between the synchronous frequency and the actual motor rotating speed.
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Field Oriented Control
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3 3.1
Field Oriented Control Introduction
A simple control such as the V/Hz strategy has limitations on the performance. To achieve better dynamic performance, a more complex control scheme needs to be applied, to control the induction motor. With the mathematical processing power offered by the microcontrollers, we can implement advanced control strategies, which use mathematical transformations in order to decouple the torque generation and the magnetization functions in an AC induction motor. Such decoupled torque and magnetization control is commonly called rotor flux oriented control, or simply Field Oriented Control (FOC).
3.2
The Main Philosophy Behind the FOC
In order to understand the spirit of the Field Oriented Control technique, let us start with an overview of the separately excited direct current (DC) Motor. In this type of motor, the excitation for the stator and rotor is independently controlled. An electrical study of the DC motor shows that the produced torque and the flux can be independently tuned. The strength of the field excitation (the magnitude of the field excitation current) sets the value of the flux. The current through the rotor windings determines how much torque is produced. The commutator on the rotor plays an interesting part in the torque production. The commutator is in contact with the brushes, and the mechanical construction is designed to switch into the circuit the windings that are mechanically aligned to produce the maximum torque. This arrangement then means that the torque production of the machine is fairly near optimal all the time. The key point here is that the windings are managed to keep the flux produced by the rotor windings orthogonal to the stator field.
ie Ue (F) M W (E, R) Tem U
Tem = K.F.I E = K.F.W F = f(Ie)
Inductor (field excitation)
Armature Circuit
Figure 3. Separated Excitation DC Motor Model Induction machines do not have the same key features as the DC motor. However, in both cases we have only one source that can be controlled which is the stator currents. On the synchronous machine, the rotor excitation is given by the permanent magnets mounted onto the shaft. On the synchronous motor, the only source of power and magnetic field is the stator phase voltage. Obviously, as opposed to the DC motor, flux and torque depend on each other. The goal of the FOC (also called vector control) on synchronous and asynchronous machine is to be able to separately control the torque producing and magnetizing flux components. The control technique goal is to (in a sense) imitate the DC motor’s operation.
3.3
Why Field Oriented Control
Asynchronous machines have some natural limitations with a V/Hz control approach. FOC control bypasses these limitations by decoupling the effect of the torque and the magnetizing flux. With decoupled control of the magnetization, the torque-producing component of the stator flux can now be thought of as independent torque control. Now, decoupled control, at low speeds, the magnetization can be maintained at the proper level, and the torque can be controlled to regulate the speed. To decouple the torque and flux, you must engage several mathematical transforms, wherein the microcontrollers add the most value. The processing capability provided by the microcontrollers enables these mathematical transformations to be carried out very quickly. This in turn implies that the entire algorithm controlling the motor can be executed at a fast rate, enabling higher dynamic performance. In addition to the decoupling, a dynamic model of the motor is now used for the computation of many quantities such as rotor flux angle and rotor speed. This means that their effect is accounted for, and the overall quality of control is better.
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Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
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Field Oriented Control
3.4
Technical Background
The Field Orientated Control consists of controlling the stator currents represented by a vector. This control is based on projections which transform a three phase time and speed dependent system into a two co-ordinate (d and q coordinates) time invariant system. These projections lead to a structure similar to that of a DC machine control. Field orientated controlled machines need two constants as input references: the torque component (aligned with the q co-ordinate) and the flux component (aligned with d co-ordinate). As Field Orientated Control is simply based on projections the control structure handles instantaneous electrical quantities. This makes the control accurate in every working operation (steady state and transient) and independent of the limited bandwidth mathematical model. The FOC thus solves the classic scheme problems, in the following ways: ? The ease of reaching constant reference (torque component and flux component of the stator current) ? The ease of applying direct torque control because in the (d,q) reference frame the expression of the torque is:
m¥Y i R Sq
By maintaining the amplitude of the rotor flux (φR) at a fixed value we have a linear relationship between torque and torque component (iSq). We can then control the torque by controlling the torque component of stator current vector.
3.5
Space Vector Definition and Projection
The three-phase voltages, currents and fluxes of AC-motors can be analyzed in terms of complex space vectors. With regard to the currents, the space vector can be defined as follows. Assuming that ia, ib, ic are the instantaneous currents in the stator phases, then the complex stator current vector is is defined by:
i s = i a + a i b + a 2i c
2 P 3 a=e j
where and represent the spatial operators. The following diagram shows the stator current complex space vector:
b iS aib a ic ia a
2
4 j P 2 3 a =e ,
c
Figure 4. Stator Current Space Vector and Its Component in (a,b,c) where (a,b,c) are the three phase system axes. This current space vector depicts the three phase sinusoidal system but must still be transformed into a two time invariant coordinate system. This transformation can be split into two steps: ? (a,b,c) → (α, β) (the Clarke transformation), which outputs a two coordinate time variant system ? (a, β) → (d,q) (the Park transformation), which outputs a two coordinate time invariant system
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Field Oriented Control
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3.6
The (a,b,c) → (α, β) Projection (Clarke transformation)
The space vector can be reported in another reference frame with only two orthogonal axis called (α, β). Assuming that the axis a and the axis α are in the same direction, you have the following vector diagram:
b b i Sb iS
iSa
a=a
c
Figure 5. Stator Current Space Vector and Its Component in the Stationary Reference Frame The projection that modifies the three phase system into the (α, β) two dimension orthogonal system is:
=i ìi ? sa a ? í ?i = 1 i + 2 i ? sb 3 a 3 b ?
The two phase (α, β) currents still depend on time and speed.
3.7
The (α, β) → (d.q) Projection (Park Transformation)
This is the most important transformation in the FOC. In fact, this projection modifies a two phase orthogonal system (α, β) into the d,q rotating reference frame. If we consider the d axis aligned with the rotor flux, Figure 6 shows, for the current vector, the relationship from the two reference frame:
b q i Sb i Sr iS YR d q i Sa iSd a=a
Figure 6. Stator Current Space Vector and Its Component in (α, β) and in the d,q Rotating Reference Frame where θ is the rotor flux position. The flux and torque components of the current vector are determined by the following equations:
=i cos q + i sin q ìi sa sb ? sd ? í ?i = - i sin q + i cos q ? sa sb ? sq
8 Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
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Field Oriented Control
These components depend on the current vector (α, β) components and on the rotor flux position; if we know the right rotor flux position then, by this projection, the d,q component becomes a constant. Two phase currents now turn into dc quantity (time-invariant). At this point the torque control becomes easier where constant isd (flux component) and isq (torque component) current components controlled independently.
3.8
The Basic Scheme for the FOC
Figure 7 summarizes the basic scheme of torque control with FOC:
Inv. Park Tr. d,q VDC VSaref SV PWM 3-phase Inverter
iSqref PI iSdref
VSqref
PI q q
VSdref
a,b
VSbref
iSq
d,q
i Sa
a,b
ia
iSd
a,b Park Tr.
i Sb
a,b Clarke Tr.
ib
AC Motor
Figure 7. Basic Scheme of FOC for ACI Motor Two motor phase currents are measured. These measurements feed the Clarke transformation module. The outputs of this projection are designated isα and isβ. These two components of the current are the inputs of the Park transformation that gives the current in the d,q rotating reference frame. The isd and isq components are compared to the references isdref (the flux reference) and isqref (the torque reference). At this point, this control structure shows an interesting advantage: you can control either synchronous or induction machines by simply changing the flux reference and obtaining rotor flux position. In a synchronous permanent magnet a motor, the rotor flux is fixed (determined by the magnets) and there is no need to create additional flux. Therefore, when controlling a PMSM, isdref should be set to zero. Since induction motors need a rotor flux creation in order to operate, the flux reference must not be zero. This conveniently solves one of the major drawbacks of the “classic” control structures: the portability from asynchronous to synchronous drives. The torque command isqref could be the output of the speed regulator when we use a speed FOC. The outputs of the current regulators are Vsdref and Vsqref. They are applied to the inverse Park transformation. The outputs of this projection are Vsαref and Vsβref, which are the components of the stator vector voltage in the (α, β) stationary orthogonal reference frame. These are the inputs of the space vector pulse width modulation (PWM). The outputs of this block are the signals that drive the inverter. Note that both Park and inverse Park transformations need the rotor flux position. Obtaining this rotor flux position depends on the AC machine type (synchronous or asynchronous machine). Rotor flux position considerations are made in Section 3.9.
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Field Oriented Control
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3.9
Rotor Flux Position
Knowledge of the rotor flux position is the core of the FOC. In fact, if there is an error in this variable the rotor flux will not be aligned with d-axis, and isd and isq, flux and torque components of the stator current, will be incorrect. Figure 8 shows the (a,b,c), (α, β) and (d,q) reference frames, and the correct position of the rotor flux, the stator current, and stator voltage space vector that rotates with d,q reference at synchronous speed.
b q b vS iS YR q a=a d
c
Figure 8. Current, Voltage and Rotor Flux Space Vectors in the d,q Rotating Reference Frame and Their Relationship With a,b,c and (α, β) Stationary Reference Frame The measure of the rotor flux position is different if we consider synchronous or induction motor: ? In the synchronous machine the rotor speed is equal to the rotor flux speed. Then θ (rotor flux position) is directly measured by position sensor or by integration of rotor speed. ? In the induction machine the rotor speed is not equal to the rotor flux speed (there is a slip speed), then it needs a particular method to calculate θ. The basic method is to use the current model which needs two equations of the motor model in d,q reference frame. Theoretically, the field oriented control for an induction motor drive can be mainly categorized into two types: indirect and direct schemes. The field to be oriented could be a rotor, stator, or airgap flux linkage. In the indirect field oriented control, the slip estimation with measured or estimated rotor speed is required in order to compute the synchronous speed. There is no flux estimation appearing in the system. For the direct scheme, the synchronous speed is computed basing on the flux angle which is available from flux estimator or flux sensors (Hall effects). In this implementing system, the direct (rotor) flux oriented control system with flux and open-loop speed estimators is described. The key module of this system is the flux estimator. The overall block diagram of this project is depicted in Figure 9.
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Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
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Field Oriented Control
DC Supply Voltage iSdref iSqref + iSq Park Trans. qr qr lSa OpenSpeed Estimator lSb i Sa iSb Flux Estimator VSa VSb iSa iSb PI iSd PI VSdref VSqref Inv. Park Trans. qr iSa i Sb VSaref VSbref SpaceVector PWM Generator PWM1 PWM2 PWM3 PWM4 PWM5 PWM6
+
w* r
+ wr
PI
PWM3 PWM1 PWM5
Voltage Source Inverter
Phase Voltage Vdc Reconstruction Clarke Trans. iSa iSb
* Reference variable
TMS302F2833x or TMS320F2830x
3-ph Induction Motor
Figure 9. Overall Block Diagram
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Benefits of 32-Bit C2000 Controllers for Digital Motor Control (DMC)
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4
Benefits of 32-Bit C2000 Controllers for Digital Motor Control (DMC)
The C2000 family of devices posses the desired computation power to execute complex control algorithms along with the right mix of peripherals to interface with the various components of the DMC hardware like the ADC, ePWM, QEP, eCAP, and so forth. These peripherals have all the necessary hooks for implementing systems which meet safety requirements, like the trip zones for PWMs and comparators. Along with this the C2000 ecosystem of software (libraries and application software) and hardware (application kits) help in reducing the time and effort needed to develop a Digital Motor Control solution. The DMC Library provides configurable blocks that can be reused to implement new control strategies. IQMath Library enables easy migration from floating point algorithms to fixed point thus accelerating the development cycle. Therefore, with the C2000 family of devices it is easy and quick to implement complex control algorithms (sensored and sensorless) for motor control. The use of C2000 devices and advanced control schemes provides the following system improvements: ? Favors system cost reduction by an efficient control in all speed range implying right dimensioning of power device circuits. ? Advanced control algorithms reduce torque ripple, thus resulting in lower vibration and longer life time of the motor. ? Advanced control algorithms reduce harmonics generated by the inverter thus reducing filter cost. ? Sensorless algorithms eliminate the need for speed or position sensor. ? Fewer look-up tables which reduces the amount of memory required. ? Real-time generation of smooth near-optimal reference profiles and move trajectories results in betterperformance. ? Generation of high-resolution PWMs is possible with the use of ePWM peripheral for controlling the power switching inverters. ? Single chip control system. For advanced controls, C2000 controllers: ? Enable control of multi-variable and complex systems using modern intelligent methods such as neural networks and fuzzy logic ? Perform adaptive control. C2000 controllers have the speed capabilities to concurrently monitor and control the system. A dynamic control algorithm adapts itself in real time to variations in system behavior. ? Perform parameter identification for sensorless control algorithms, self commissioning, online parameter estimation update ? Perform advanced torque ripple and acoustic noise reduction. ? Provide diagnostic monitoring with spectrum analysis. By observing the frequency spectrum of mechanical vibrations, failure modes can be predicted in early stages. ? Produce sharp-cut-off notch filters that eliminate narrow-band mechanical resonance. Notch filters remove energy that would otherwise excite resonant modes and possibly make the system unstable.
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Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
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TI Literature and Digital Motor Control (DMC) Library
5
TI Literature and Digital Motor Control (DMC) Library
The Digital Motor Control (DMC) library is composed of functions represented as blocks. These blocks are categorized as: ? Transforms and Estimators (Clarke, Park, Sliding Mode Observer, Phase Voltage Calculation, and Resolver, Flux, and Speed Calculators and Estimators) ? Control (Signal Generation, PID, BEMF Commutation, Space Vector Generation) ? Peripheral Drivers (PWM abstraction for multiple topologies and techniques, ADC drivers, and motor sensor interfaces) Each block is a modular software macro and separately documented with source code, use, and technical theory. For the source codes and explanation of macro blocks, install the controlSUITE software from https://www.360docs.net/doc/e98929947.html,/controlsuite. After installing the software, check the following folders for the source codes and explanations for macro blocks: ? C:\TI\controlSUITE\libs\app_libs\motor_control\math_blocks\v4.0 ? C:\TI\controlSUITE\libs\app_libs\motor_control\drivers\f2833x_v2.0 ? C:\TI\controlSUITE\libs\app_libs\motor_control\drivers\f2803x_v2.0 These modules allow users to quickly build, or customize, their own systems. The library supports the three motor types: ACI, BLDC, PMSM, and comprises both peripheral dependent (software drivers) and target dependent modules. The DMC library components have been used by TI to provide system examples. At initialization all DMC Library variables are defined and inter-connected. At run-time the macro functions are called in order. Each system is built using an incremental build approach, which allows some sections of the code to be built at a time, so that the developer can verify each section of their application one step at a time. This is critical in real-time control applications where so many different variables can affect the system and many different motor parameters need to be tuned.
NOTE: TI DMC modules are written in form of macros for optimization purposes. For more details, see Optimizing Digital Motor Control (DMC) Libraries (SPRAAK2). The macros are defined in the header files. The user can open the respective header file and change the macro definition, if needed. In the macro definitions, there should be a backslash ”\” at the end of each line as shown in Example 1, which means that the code continues in the next line. Any character including invisible ones like “space” or “tab” after the backslash will cause compilation error. Therefore, make sure that the backslash is the last character in the line. In terms of code development, the macros are almost identical to C function, and the user can easily convert the macro definition to a C functions.
Example 1. A Typical DMC Macro Definition
#define PARK_MACRO(v)
\ \ v.Ds = _IQmpy(v.Alpha,v.Cosine) + _IQmpy(v.Beta,v.Sine); \ v.Qs = _IQmpy(v.Beta,v.Cosine) - _IQmpy(v.Alpha,v.Sine);
5.1
System Overview
This document describes the “C” real-time control framework used to demonstrate the sensorless field oriented control of induction motors. The “C” framework is designed to run both on TMS320C2833x- and TMS320C2803x-based controllers controllers on Code Composer Studio? software. The framework uses the following modules. For details and the theoretical background of each macro, see the PDF documents in C:\TI\controlSUITE\libs\app_libs\motor_control.
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TI Literature and Digital Motor Control (DMC) Library
Macro Names CLARKE PARK / IPARK PI RC RG QEP / CAP SPEED_PR SPEED_FR ACI_SE / ACI_FE SVGEN PHASEVOLT PWM / PWMDAC Explanation Clarke Transformation Park and Inverse Park Transformation PI Regulators Ramp Controller (slew rate limiter) Ramp / Sawtooth Generator QEP and CAP Drives (optional for speed loop tuning with a speed sensor) Speed Measurement (based on sensor signal frequency) Speed Measurement (based on sensor signal period) Flux and Speed Estimators for Sensorless Applications Space Vector PWM with Quadrature Control (includes IClarke Transformation) Phase Voltage Calculator PWM and PWMDAC Drives
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In this system, the sensorless Direct Field Oriented Control (DFOC) of Induction Motor will be experimented with and will explore the performance of the speed controller. The induction motor is driven by a conventional voltage-source inverter. TMS320x2833x or TMS320x2803x control cards can be used to generate three pulse width modulation (PWM) signals. The motor is driven by an integrated power module by means of space vector PWM technique. Two phase currents of HVPM motor (ia and ib) are measured from the inverter and sent to the controller via two analog-to-digital converters (ADCs). In addition, the DCbus voltage in the inverter is measured and sent to the TMS320x2833x or TMS320x2803x via an ADC. This DC-bus voltage is necessary to calculate the three phase voltages when the switching functions are known. HVACI_Sensorless project has the following properties:
C Framework System Name HVACI_Sensorless
(1) (2)
Program Memory Usage 2803x 5079 words
(2)
Data Memory Usage 2803x 1554 words
(1)
Excluding the stack size Excluding “IQmath” Look-up Tables CPU Utilization Without CLA Total Number of Cycles CPU Utilization @ 60 MHz CPU Utilization @ 40 MHz 1133
(1)
With CLA 873
(1)
18.8% 28.3%
14.5% 21.8%
(1)
At 10 kHz ISR frequency. Debug macros excluded (in other words, PWMDAC, Datalog and RG). IQSin and Cos tables used in macros.
System Features Development and Emulation Target Controller PWM Frequency PWM Mode Interrupts Peripherals Used Code Composer Studio V4.1 (or above) with real-time debugging TMS320F2833x or TMS320F2803x 10 kHz PWM (Default), 60 kHz PWMDAC Symmetrical with a programmable dead band ADC, end of conversion – Implements 10 kHz ISR execution rate PWM 1 / 2 / 3 for motor control PWM 6A, 6B, 7A and 7B for DAC outputs (7A and 7B only 2803x) QEP1 A,B, I or CAP1 (optional for tuning the speed loop) ADC A7 for DC Bus voltage sensing, A1 and B1 for phase current sensing
14
Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
Copyright ? 2013, Texas Instruments Incorporated
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TI Literature and Digital Motor Control (DMC) Library
The overall system implementing a 3-ph induction motor control is depicted in Figure 10. The induction motor is driven by the conventional voltage-source inverter. The TMS320F2833x or TMS320F2803x can be used to generate the six pulse width modulation (PWM) signals using a space vector PWM technique, for six power switching devices in the inverter. Two input currents of the HVPM motor (ia and ib) and DC bus voltage are measured from the inverter and they are sent to the controller via two analog-to-digital converters (ADCs). The DC-bus voltage is necessary in order to calculate three phase voltages of HVPM motor when the switching functions are known.
Microcontroller PWM-1 CPU 32 bit PWM-2 I2C UART CAN PWM-3 PWM-4 1 2 3 4 5 16 PWM-5 ADC 12 bit Vref CAP-1 QEP A B A B A B A B A B DC-Bus 1 2 3 4 5 6 Integrated Power Module
HOST
PWM1A PWM1B PWM2A PWM2B PWM3A PWM3B 15 V DC Bus Voltage Feedback
1H 2H 3H 1L 2L 3L
2H
3H
2L
3L
3-Phase ACI Motor
Current Feedback
Figure 10. A 3-ph Induction Motor Drive Implementation
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Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
Copyright ? 2013, Texas Instruments Incorporated
15

TI Literature and Digital Motor Control (DMC) Library
https://www.360docs.net/doc/e98929947.html,
The software flow is described in Figure 11.
c_int0 SOC
Initialize s/w modules
Execute ADC conversion
EOC ISR Initialize s/w modules Save contexts and clear interrupt flag Enable end of conversion ISR Execute the park and clarke trans.
Initialize other system and module parameters
Execute the PID modules
Background Loop
INT 1
Execute the ipark and svgen modules
Execute the voltage calc modules
Execute the ACI_FE and ACI_SE modules
Execute the PWM drive
Restore context
Return
Figure 11. Software Flow
16
Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
Copyright ? 2013, Texas Instruments Incorporated
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Hardware Configuration (HVDMC R1.1 Kit)
6
Hardware Configuration (HVDMC R1.1 Kit)
For an overview of the kit’s hardware and steps on how to set up this kit, see the HVMotorCtrl+PFC How to Run Guide located at: https://www.360docs.net/doc/e98929947.html,/controlsuite and choose the HVMotorKit installation. The guide will be installed at: C:\TI\controlSUITE\development_kits\HVMotorCtrl+PfcKit_v2.0\~Docs. Some of the hardware setup instructions are captured below for quick reference.
6.1
Hardware Setup Instructions
1. Open the Lid of the HV Kit 2. Install the Jumpers [Main]-J3, J4 and J5, J9 for 3.3V, 5V and 15V power rails and JTAG reset line. 3. Unpack the DIMM style controlCARD and place it in the connector slot of [Main]-J1. Push down vertically using even pressure from both ends of the card until the clips snap and lock. (to remove the card simply spread open the retaining clip with thumbs) 4. Connect a USB cable to connector [M3]-JP1. This step enables an isolated JTAG emulation to the C2000 device. [M3]-LD1 should turn on. Make sure [M3]-J5 is not populated. If the included Code Composer Studio is installed, the drivers for the onboard JTAG emulation will automatically be installed. If a Windows? installation window appears, try to automatically install drivers from those already on your computer. The emulation drivers are found at https://www.360docs.net/doc/e98929947.html,/Drivers/D2XX.htm. The correct driver is the one listed to support the FT2232. 5. If a third party JTAG emulator is used, connect the JTAG header to [M3]-J2 and additionally [M3]-J5 needs to be populated to put the onboard JTAG chip in reset. 6. Ensure that [M6]-SW1 is in the “Off” position. 7. Connect 15-V DC power supply to [M6]-JP1. 8. Turn on [M6]-SW1. Now [M6]-LD1 should turn on. Notice the control card LED will light up as well indicating the control card is receiving power from the board. 9. Note that the motor should be connected to the [M5]-TB3 terminals after you finish with the first incremental build step. 10. Note the DC Bus power should only be applied during incremental build levels when instructed to do so. The two options to get DC Bus power are: ? To use DC power supply, set the power supply output to zero and connect [Main]-BS5 and BS6 to DC power supply and ground respectively. ? To use AC Main Power, Connect [Main]-BS1 and BS5 to each other using banana plug cord. Now connect one end of the AC power cord to [Main]-P1. The other end needs to be connected to output of a variac. Ensure that the variac output is set to zero and is connected to the wall supply through an isolator. Since the motor is rated at 220 V, the motor properly runs only at a certain speed and torque range without saturating the PID regulators in the control loop when the DC bus is fed from 110-V AC entry. As an option, the user can run the PFC on HV DMC drive platform as boost converter to increase the DC bus voltage level or directly connect a DC power supply. For reference, the following figures show the jumper and connectors that need to be connected for this lab.
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Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
Copyright ? 2013, Texas Instruments Incorporated
17

Hardware Configuration (HVDMC R1.1 Kit)
https://www.360docs.net/doc/e98929947.html,
ACI Motor AC Entry
Encoder or Tacho
J3,J4,J5 J9
15V DC
Figure 12. Using AC Power to Generate DC Bus Power CAUTION The inverter bus capacitors remain charged for a long time after the high power line supply is switched off or disconnected. Proceed with caution!
18
Sensorless Field Oriented Control of 3-Phase Induction Motors Using F2833x
Copyright ? 2013, Texas Instruments Incorporated
SPRABQ0 – October 2013 Submit Documentation Feedback

直流电机转速控制

直流电机转速控制公司标准化编码 [QQX96QT-XQQB89Q8-NQQJ6Q8-MQM9N]

直流电机转速控制 课程设计 姓名: 学号: 班级:

目录 1.直流电机转速控制方案设计 (2) 设计要求 (2) 设计框图 (2) 2.直流电机转速控制硬件设计 (3) 主要器件功能 (3) 硬件原理图 (6) 3.直流电机转速控制软件设计 (7) 4.调试 (8) 硬件测试 (8) 软件调试……………………………………………………………(11

1.直流电机转速控制方案设计 设计要求 通过设计了解如何运用电子技术来实现直流电机转速控制,完成直流电机转向和转速的控制,提高分析电路设计、调试方面问题和解决问题的能力。 1、用按键1控制旋转方向,实现正转和反转。 2、电机的设定转速与电机的实际转速在数码管上显示。 3、旋转速度可实时改变。 设计框图 本课题中测量控制电路组成框图如下所示:

图1 2.直流电机转速控制硬件设计 主要器件功能 1、L298N 是专用驱动集成电路,属于H 桥集成电路,与L293D 的差别是其输出电流增大,功率增强。其输出电流为2A,最高电流4A,最高工作电压50V,可以驱动感性负载,如大功率直流电机,步进电机,电磁阀等,特别是其输入端可以与单片机直接相联,从而很方便地受单片机控制。当驱动直流电机时,可以直接控制步进电机,并可以实现电机正转与反转,实现此功能只需改变输入端的逻辑电平。此外可能通过使能端的高低电平的变换,从而使电机通断,来控制电机的转速。 图2 板上的EN1 与EN2 为高电平时有效,这里的电平指的是TTL 电平。EN1 为IN1 和IN2 的使能端,EN2为IN3 和IN4 的使能端。POWER 接直流电源,注意正负,电源正端为VCC,电源地为GND。 2、ZLG7290的核心是一块ZLG7290B芯片,它采用I2C接口,能直接驱动8位共阴式数码管,同时可扫描管理多达64只按键,实现人机对话的功能资源十分丰富。除具有自动消除抖动功能外,它还具有段闪烁、段点亮、段熄灭、功

异步电动机无速度传感器矢量控制系统设计

肖金凤 1971年1月 生,1994年毕业于湖南大学电气与信息工程学院电机专业,学士学位,2004年毕业于湖南大学电气与信息工程学院控制工程专业,硕士学位,讲师。主要研究方向为电机智能控制、工业过程控制及综合自动化。 异步电动机无速度传感 器矢量控制系统设计 * 肖金凤1 , 黄守道2 , 李劲松 1 (1.南华大学,湖南 衡阳 421001;2.湖南大学,湖南 长沙 410082) 摘要 文章提出一种基于模糊神经网络的模型参考自适应电机转速辨识方法,将其与SVP WM 调制技术控制的变频器系统结合起来,组成了一种基于DSP 的异步电机无速度传感器矢量控制系统。具体介绍了其结构及软硬件的设计。仿真结果表明此系统动态性能好,能准确跟踪电机转速的变化。 关键词 异步电动机 无速度传感器 SVP WM 矢量控制 数字信号处理器 Fiel d Oriented Control Syste m of Speed Sensorless Based on DSP X iao Jinfeng ,Huang Shoudao ,L i Jingsong (1.N anhua Un iversity ;2.H unan Un i v ersity ) Abstract :This paper presents a ne w m et h od of i n ducti o n m otor speed identifica -ti o n .It is the co m binati o n o f f u zzy neural net w ork (FNN )w ith m odel reference adap -ti v e syste m (MRAS).W e co m bi n e this m ethod w it h the i n verter contro lled by space vector pulse w idth m odu lati o n (SVP WM )to for m a field oriented con tro l syste m o f speed senso rless based on DSP . Its struct u re and soft w are and hardw are are ana -l y zed .The S i m u lation results sho w that the contro l syste m has better dyna m ic per -f o r m ance and can accurately track the variati o n of the m otor speed . K ey w ords :I nducti o n m oto r Speed sensorless SVP WM F ield oriented con -tro l (FOC) DSP *湖南省自然科学基金资助项目(编号:02JJ Y 2089) 1 引言 异步电动机的数学模型由电压方程、磁链方 程、转矩方程和运动方程组成,是一个高阶、非线性、强耦合的多变量系统。采用传统的控制策略对其进行控制时,动态控制效果较差。目前异步电动机控制研究工作正围绕几个方面展开:采用新型电力电子器件和脉宽调制控制技术;应用矢量控制技术及现代控制理论、智能控制技术;广泛应用数字控制系统及计算机技术;无速度传感器控制技术。本文以电机控制专用芯片 T M S320F240为核心,采用磁通、转速闭环的矢量控制策略,利用SVP WM 脉宽调制技术、无速度传感器及智能控制技术,设计了一电机控制系统。仿真结果表明该控制系统抗干扰能力强,动态性能好。 2 速度估计策略 模型参考自适应方法(MRAS)是应用较广的速度估计方法。本文设计的模型参考自适应速度估计系统为减少定子电阻的影响选择瞬时无功功率模型,同时为有效解决瞬时无功功率模型参考 40 异步电动机无速度传感器矢量控制系统设计《中小型电机》2005,32(2)

无速度传感器永磁同步电机发展与控制策略评述

无速度传感器永磁同步电机发展与控制策略评述潘萍付子义 中图分类号:TM351TM344.4文献标识码:A文章编号:1001-6848(2007)06-0091-02无速度传感器永磁同步电机发展与控制策略评述 潘萍,付子义 (河南理工大学,焦作454003) 摘要:介绍了永磁同步电机无速度传感器控制策略,分析了无速度传感器技术研究现状,指出状态观测器法及谐波注入法是目前无速度传感器技术的研究热点。 关键词:永磁同步电机;无速度传感器;评述;控制策略;状态观测器;谐波注入法 DevelopmentRenewandStrategyofPermanentM_agnetSynchronousMoOrSpeedSensorless PANPing,FUZi—yi (HenanPolytechnicUniversity,Jiaozuo454003,China) ABSTRACT:Thispapersummarizesthestrategyofpermanentmagnetsynchronousmotor.Itanalyzesthepresentofspeedsensorlesstechonologyofpermanentmagnetsynchronousmotor,indicatesthatthestateobserverandharmonicinjectionprocessarecurrentresearchfocus. KEYWORDS:Permanentmagnetsynchronousmotor;Speedsensorless;Review;Controlstrategy;Stateobserver;Harmonicinjectionmethod O引言 永磁同步电机控制系统离不开高精度的位置和速度传感器,但在实际的系统中,传感器的存在不仅增加了系统成本,还易受工作环境影响,同时也降低了系统的可靠性,因此,无速度传感器交流调速系统成为近年研究热点¨j。 1无速度传感器永磁同步电机研究及发展 无速度传感器永磁同步电机是在电机转子和机座不安装电磁或光电传感器的情况下,利用直接计算、参数辨识、状态估计、间接测量等手段,从定子边较易测量的量,如定子电压、定子电流中提取出与速度有关的量,从而得出转子速度,并应用到速度反馈控制系统中。 国际上对永磁同步电机无速度传感器的研究始于20世纪70年代旧J。1975年,A.Abbondanti等人推导出了基于稳态方程的转差频率估计方法, 收稿日期:2006—09-26 基金项目:河南省杰出青年科学基金(0211060500);河南省重要攻关项目(9911020429)在无速度传感器控制领域作出首次尝试,调速比可达10:l。但由于其出发点是稳态方程,动态性能和调速精度难以保证。1979年,M.Ishida等学者利用转子齿谐波来检测转速,限于当时的检测技术和控制芯片的实时控制能力,仅在大于300r/rain的转速范围取得较好的结果。1983年R.Joetten首次将无速度传感器技术应用于永磁同步电机矢量控制。近年来,德国亚探工大(RWTHAachen)电机研究所的学者又先后开展了采用推广卡尔曼滤波器的永磁同步电机和感应电机无机械传感器调速系统的研究。美国麻省理工学院(MIT)电机工程系的学者在1992年发表了采用全阶状态观测器的无传感器永磁同步电机调速系统的论文。由于状态观测器受电机参数变化的影响较大,还需要另外一个状态观测器来估计电机的参数,这样使无传感器永磁同步调速系统的估计算法变得比较复杂,同时系统还存在对负载变化比较敏感等问题。国内自90年代中开始,也开始对永磁电机无速度传感器控制技术进行研究,但主要局限于各高等院校,研究主要还是着重于理论和仿真方面。 一91—   万方数据

BLDC无位置传感器控制技术

BLDC无位置传感器控制技术 2014.11.12 duguqiubai1234@https://www.360docs.net/doc/e98929947.html, BLDC电机是一种结合了直流电机和交流电机优点的改进型电机。其转子采用永磁材料励磁,体积小、重量轻、结构简单、维护方便。BLDC电机又具有控制简便、高效节能等一系列优点,已广泛应用于仪表和家用电器等领域。 本文主要讨论高压BLDC风机无位置传感器起动和运行技术。 一、无位置传感器技术简介 BLDC电机最简单的控制方法是安装三个位置传感器,使用六步换相法控制。但传感器器会增大电机的体积和成本,另外传感器的位置精度影响电机的运行;特别对于极对数较多的电机,传感器偏差少许机械角度也可能引起电角度偏差很多。在某些恶劣环境下,如高温、潮湿、腐蚀性气体等环境,传感器易损坏,因而无法使用。 使用无位置传感器方式则可以克服上述缺点。 无传感器BLDC在性能上也存在一些不足: (1)难以实现重负载(例如额定转矩)起动。好在风机属于轻负载起动的情况。 (2)难以快速起动。例如很难实现1秒内从静止加速到全速。好在风机通常不要求很短时间内完成加速。 (3)无法实现全速范围内任意调速。有传感器BLDC能够实现0%~100%额定转速范围内的调速,而无传感器BLDC通常只能实现10%~100%额定转速范围内的调速。好在风机通常不要求10%额定转速以下运行。 经过以上分析,可以看出风机非常适合使用无位置传感器方式控制。 国内高压无位置传感器BLDC技术仍处于不成熟阶段。使用该技术的产品应以稳定可靠为主要要求,而不是以性能优越为主要要求。高压无传感器BLDC如果追求性能优越,则成本太高,技术难度过大。 风机类产品通常起动后连续工作时间较长,所以通常不要求快速起动,不也要求反复起停。

多电机速度同步控制

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无速度传感器的矢量控制系统仿真

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姓名: 学号: 班级: 目录 1.直流电机转速控制方案设计 (2) 1.1设计要求 (2) 1.2设计框图 (2) 2.直流电机转速控制硬件设计 (3) 2.1主要器件功能 (3) 2.2硬件原理图 (6)

3.直流电机转速控制软件设计 (7) 4.调试 (8) 4.1硬件测试 (8) 4.2软件调试……………………………………………………………(11 1.直流电机转速控制方案设计 1.1设计要求 通过设计了解如何运用电子技术来实现直流电机转速控制,完成直流电机转向和转速的控制,提高分析电路设计、调试方面问题和解决问题的能力。

1、用按键1控制旋转方向,实现正转和反转。 2、电机的设定转速与电机的实际转速在数码管上显示。 3、旋转速度可实时改变。 1.2设计框图 本课题中测量控制电路组成框图如下所示: 图1

2.直流电机转速控制硬件设计 2.1主要器件功能 1、L298N 是专用驱动集成电路,属于H 桥集成电路,与L293D 的差别是其输出电流增大,功率增强。其输出电流为2A,最高电流4A,最高工作电压50V,可以驱动感性负载,如大功率直流电机,步进电机,电磁阀等,特别是其输入端可以与单片机直接相联,从而很方便地受单片机控制。当驱动直流电机时,可以直接控制步进电机,并可以实现电机正转与反转,实现此功能只需改变输入端的逻辑电平。此外可能通过使能端的高低电平的变换,从而使电机通断,来控制电机的转速。 图2 板上的EN1 与EN2 为高电平时有效,这里的电平指的是TTL 电平。EN1 为IN1 和IN2 的使能端,EN2为IN3 和IN4 的使能端。POWER 接直流电源,注意正负,电

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直流电机转速控制 课程设计 姓名: 学号: 班级:

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1.直流电机转速控制方案设计 1.1设计要求 通过设计了解如何运用电子技术来实现直流电机转速控制,完成直流电机转向和转速的控制,提高分析电路设计、调试方面问题和解决问题的能力。 1、用按键1控制旋转方向,实现正转和反转。 2、电机的设定转速与电机的实际转速在数码管上显示。 3、旋转速度可实时改变。 1.2设计框图 本课题中测量控制电路组成框图如下所示: 图1

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一、直流电机调速方法 (1)调节电枢供电电压U。改变电枢电压主要是从额定电压往下降低电枢 电压,从电动机额定转速向下变速,属恒转矩调速方法。对于要求在一定范围内 无级平滑调速的系统来说,这种方法最好。I a 变化遇到的时间常数较小,能快速响应,但是需要大容量可调直流电源。 (2)改变电动机主磁通Φ。改变磁通可以实现无级平滑调速,但只能减弱磁通进行调速(简称弱磁调速),从电机额定转速向上调速,属恒功率调速方法。 I f 变化时间遇到的时间常数同I a 变化遇到的相比要大得多,响应速度较慢, 但所需电源容景小。 (3)改变电枢回路电阻R。在电动机电枢回路外串电阻进行调速的方法,设备简单,操作方便。但是只能进行有级调速,调速平滑性差,机械特性较软;空载时几乎没什么调速作用;还会在调速电阻上消耗大暈电能。 二、异步电机调速方法 三相异步电动机转速公式为:n60f p1s。 从上式可见,改变供电频率f、电动机的极对数P及转差率s均可达到改变转速的目的。从调速的本质来看,不同的调速方式无非是改变交流电动机的同步转速或不改变同步转速两种。 在生产机械中广泛使用不改变同步转速的调速方法有绕线式电动机的转子串电阻调速、斩波调速、串级调速以及应用电磁转差离合器、液力偶合器、油膜离合器等调速。改变同步转速的有改变定子极对数的多速电动机,改变定子电压、频率的变频调速有能无换向电动机调速等。 从调速时的能耗观点来看,有高效调速方法与低效调速方法两种: (1)高效调速指时转差率不变,因此无转差损耗,如多速电动机、变频调速以及能将转差损耗回收的调速方法(如串级调速等)。 (2)有转差损耗的调速方法属低效调速,如转子串电阻调速方法,能量就损耗在转子回路中; (3)电磁离合器的调速方法,能量损耗在离合器线圈中;

无刷直流电机的无位置传感器控制_0813

无位置传感器控制技术是无刷直流电机研究的热点之一,国内外相关研究已经取得阶段性成果。 在无刷直流电机工作过程中,各相绕组轮流交替导通,绕组表现为断续通电。在绕组不通电时,由于绕组线圈的蓄能释放,会产生感应电动势,该感应电动势的波形在绕组两端有可能被检测出来。利用感应电动势的一些特点,可有取代转子上的位置传感器功能,来得到需要的换相信息。由此,就出现了无位置传感器的无刷直流电动机。 尽管无位置传感器控制方式使得转子位置检测的精确度有所降低,但由于取消了位置传感器,电机的结构更加简单,安装更加方便,成本降低,可靠性进一步提高,在对体积和可靠性有要求的领域以及不适合安装位置传感器的场合,无位置传感器无刷直流电机应用广泛。 无位置传感器控制方式下的无刷直流电机具有可靠性高、抗干扰能力强等优点,同时在一定程度上克服了位置传感器安装不准确引起的换相转矩波动。 无位置传感器技术是从控制的硬件和软件两方面着手,以增加控制的复杂性换取电机结构复杂性的降低。 以采用120o电角度两两导通换相方式的三相桥式Y接无刷直流电机为例,讨论基于现代控制理论和智能算法的无刷直流电机无位置传感器控制方法。 转子位置间接检测法 目前无刷直流电机中主要采用电磁式、光电式、磁敏式等多种形式的位置传感器,但位置传感器的存在限制了无刷直流电机在某些特定场合的应用,主要体现在: 1、位置传感器可使电机系统的体积增大; 2、位置传感器使电机与控制系统之间导线增多,使系统易受外界干扰影响; 3、位置传感器在高温、高压和湿度较大等恶劣工况下运行时灵敏度变差,系统运行 可靠性降低 4、位置传感器对安装精度要求较高,机械安装偏差引起的换相不准确直接影响电机 的运行性能。 无位置传感器控制技术越来越受到重视,并得到了迅速发展。依据检测原理的不同,无刷直流电机无位置传感器控制方法主要包括反电势法、磁链法、电感法及人工智能法等。 反电势法 反电势法(感应电动势过零点检测法)目前是技术最成熟、应用最广泛的一种位置检测方法。该方法将检测获得的反电势过零点信号延迟30o电角度,得到6个离散的转子位 置信号,为逻辑开关电路提供正确的换相信息,进而实现无刷直流电机的无位置传感器控制。 无刷直流电机反电势过零点与换相时刻的对应关系如图所示,图中e A、e B、e C为相位互差120o电角度的三相梯形波反电势,Q1~Q6为一个周期内的6个换相点,分别滞后相应反电势过零点30o电角度。

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