Control System Of Brushless DC Motor Based On DSP And Adaptive Fuzzy Control With Genetic Algorithm

As the electromechanical energy conversion device, the motor is wildly used in all the areas and sections of the national economy in modern society. There are three types of motor, Asynchronous motor, asynchronous machine and DC motor. And the DC motor is advantage of simple structure, large power, high efficiency and easily-control-speeding. However, the traditional DC motor electromechanical energy conversion is by electric brush with the side effect with noise, sparkle and radio interference that will shorten the lifetime of DC motor. Besides, with the high-cost and hard to repair, the DC motor could not apply into some area. Benefit from the advancing technology, with the invention of high-precision, high-integrated DSP chip and large power thyristor, and the electronic commutation instead of mechanical commutation, the mentioned deficiency could be proved.This thesis is aiming at the study of the control system of brushless DC motor. Firstly, we will compare three kinds of control devices. And then design a control device based on the experiment conclusion. At last, to test the control device, and analysis the experiment result.In this experiment, the peripheral circuit is made of a specialized brushless DC motor driver. In order to simplify the peripheral circuit devices, to reducing the power consumption, to improving the system accuracy and real-time, the motor driver combined the Power drive modules and Position detection module together. And it is easy to isolate the control chip DSP and the motor with simple electric circuit. According to the experiment, the point of view based on that DSP with genetic algorithm adaptive brushless DC motor driver is advantage with high-speed starting, stable running and preferable speed regulation. And it is apply into some areas,...