"基于MATLAB和DSP的永磁同步电机控制系统设计与实现"

版权申诉

matlab

毕业论文

24 浏览量更新于2024-04-20 收藏 1.46MB PDF 举报

身份认证购VIP最低享 7 折!

30元优惠券

资源详情

资源推荐

Chapter 1 Introduction

Figure 1.1 Typical structure of motion control system.

Servo motors are classified into DC servo motor, AC servo motor, and stepping

motors. There are two varieties of AC servo motors; synchronous motor and induction

type servo motor.

Since the DC motor was invented by W.V. Siemens in the late 1800s, brush DC

motors have been the most prominent variable speed technology. The AC induction

motor was invented by Nicolas Tesla in 1924.In 1962 two engineers T.G. Wilson and P.H.

Trickey published a paper in which they described a “brushless DC motor”

[2]

. It was not

a practical technology until the late 1980 for the lag of the magnet and power switching

device technology. But now, we know that brushless motor is the most popular motor in

the modern factories.

What’s the reason machinery manufacturer and users choose brushless over the

time-proven DC drive or the now widely accepted vector induction motor system?

Chapter 1 Introduction

The drive system receive the signal (may be analog or digital signal) from position

controller (or motion controller) , and then deal with it to use the information to control

the power equipment and to make the motor rotor round so the drive system is very

important to improve the whole system’s performance.

About 80-90% of the controllers used in the industry application are PID

controller

[3]

. It doesn’t need the precise mathematic model and easy programmed using

computer language. People have done a lot of attempts to avoid the influence by the

disturbance (certain or uncertain disturbance). J. Solsona and M. I. Valla provided the

nonlinear method in their paper

[5]

. J. Zhou and Y. wang used the adaptive method in

their paper

[6]

. F-J Lin and R-J wai designed an on-line trained fuzzy neural network

controller

[33]

. Shun-zhi Xiao used the Fuzzy-PI control based on the adaptive genetic

algorithm in the paper

[7]

. A. A. Hassan and M. Azzam applied the Linear Quadretic

Gaussian algorithm to realize the robust control of PMSM in their paper

[31]

The advantage of those strategies is that with robust character, good performance

with precise mathematics model. The disadvantage is that they are all not easily or

impossible realized on the DSP or other processor. Because of complicated structure and

the slow response, those algorithms usually were only tested in the laboratory.

1.2 Objective and method

Normally, people develop the motor control system based on the principle and

algorithm with mathematics expression. Then they’ll do some simulation with some

special software, such as MATLAB, LABVIEW and so on. Based on the simulation

result, they change and improve their control algorithm or parameters. Also they use

these tools to treat the control method with the ideal condition. After getting the

satisfying result, then they’ll realize their algorithm by hardware with program language.

At the last step, they can use the oscillograph to observe the waves cape and then change

the control algorithm based on the experiment result, still need to do some simulation,

still to do program. So they have to repeat this process until to get the right export. This is

a complicate process.

Chapter 1 Introduction

With the tool provided by MATLAB and TI, people can reduce some steps to do

these jobs. They can do the hardware-loop test of the motor control system. Some repeat

steps can be avoided in the development process. So we use the Embedded target for

TIC2000 (a toolbox integrated in MATLAB) to complete our project. This method also

can be called Hardware-In-Loops design methods or model-based design method. The

model is used to define specifications, evaluate design and system performance,

automatically generate code, perform hardware-in-the-loop testing, and create a software-

based test harness for testing production hardware. This approach can substantially

reduce development time by rapidly leading to complete and functional proof-of-concept

designs and enabling rapid design iterations and parameter optimization through a unified

design, simulation, and test environment

[5]

The use of model-based design for motor control applications has been aided by

the introduction of blocksets that include pre-configure blocks to handle all elements of

vector control systems, such as Park and Clarke transforms, PWMs, speed

estimators ,flux estimators and others. These new tools enable designers to quickly build

a graphical model using pre-built blocks representing primitives and advanced algorithms,

incorporating their own c-code only when required. All of the integration between the

various blocks and peripherals is carried out automatically. The following figure

illustrates the develop method.

For our application, the processor we choose is TI TMS320LF2812 serial, so the

toolbox we used for rapid code generation is embedded target for TIC2000 toolbox.

In the Simulink environment, we developed our model. The TIC2000 provided

some basic blocks such as AD, PWM block. But we need develop some other blocks to

make the model built successfully. The block development process can be done with the

system function or so-called S-function that can be written in C programming language

(C-MEX S-function). S-function defines number of the inputs, numbers of outputs,

algorithm for calculation of the block output value, sample time, etc for the custom

simulink block. These information can be linked by TLC file. RTW (Real-time workshop)

also generates makefile (model.mk) from the system template makefile. After that, the

target language compiler is invoked into the code generation process and it converts

剩余65页未读，继续阅读

icwx_7550592

粉丝: 20
资源: 7163

"基于MATLAB和DSP的永磁同步电机控制系统设计与实现"

编程语言-基于MATLAB和DSP的永磁同步电机控制.pdf

基于Matlab的永磁同步电机DSP控制系统开发.pdf

基于MATLAB的永磁同步电机控制系统设计与实现_毕业论文.pdf

现代永磁同步电机控制原理及matlab仿真__袁雷编著.pdf

基于matlab的永磁同步电机dsp控制系统开发

matlab永磁同步电机控制器

永磁同步电机矢量控制的matlab仿真研究,永磁同步电机矢量控制MATLAB仿真研究

基于matlab永磁同步电机矢量控制的设计与仿真

matlab永磁同步电机

基于matlab的永磁同步交流电机调速系统设计

永磁同步电机控制 matlab

现代永磁同步电机控制原理及matlab仿真pdf

现代永磁同步电机控制原理及matlab仿真 pdf

现代永磁同步电机控制原理及matlab仿真pdf csdn

matlab simulink中实现永磁同步电机模型预测控制

matlab永磁同步电机直接转矩控制仿真

现代永磁同步电机控制原理及matlab仿真下载

matlab28335永磁同步电机

永磁同步电机预测控制 matlab仿真

现代永磁同步电机控制原理及matlab仿真 下载

最新资源

现代永磁同步电机控制原理及matlab仿真下载