Research And Implementation Of A Combined Brushless DC Motor Speed Control Strategy With Fuzzy Control Etc

Brushless DC motor (BLDCM) has the advantages of simple structure, small size and high efficiency, good performance of speed regulation. It is widely used in all fields of industry. Brushless DC motor has an immense research value with the rapid development of computer technology and power electronic technology. In this paper, algorithm design of speed control system based on Brushless DC motor is researched deeply.The basic structure and working principle of Brushless DC motor are introduced in this paper. Aiming at the poor performance of traditional PI control of the speed control, the generalized predictive optimal PI algorithm is proposed. Generalized predictive control model combined with PI control to solve the problem of poor control accuracy and slow response of Brushless DC motor.The method of generalized predictive optimal PI algorithm has solved the poor performance of Brushless DC motor which controlled by PI algorithm to some degree. But when the on-line computation of the Generalized Prediction increases rapidly, the real-time performance of control system is decreased. In order to solve this problem, a fuzzy PI predictive function control method is derived which combine the fuzzy control theory with the PI predictive functional control method. And the method is introduced into the brushless DC motor speed loop to realize the control application.The whole system simulation model of Brushless DC motor is built based on the experimental environment of Simulink in the Matlab software platform. In this paper, a double closed loop control system is used, in which the inner loop is current loop and the outer loop is the speed loop. The m file control algorithm written in C language is packaged as a speed controller module at the speed link to realize speed regulation. In the fuzzy PIPFC control, the fuzzy control toolbox is used to select the membership function, set the scope of the theory domain, set up the fuzzy control rules and write the fuzzy control statements. The simulation experiment of Brushless DC motor is carried out by using the designed controller under the given speed and the applied environment. The simulation results show that the Brushless DC motor has a short response time, small overshoot, strong anti-interference ability, certain quality control under the control of generalized predictive optimal PI algorithm and fuzzy PI predictive function control.The software and hardware of DSPTMS320F28335 experiment simulation platform are introduced in this paper. On this platform, the motor speed control of the traditional PI algorithm, generalized predictive optimal PI algorithm and the fuzzy PIPFC algorithm are realized. The experimental results show that the algorithm proposed in this paper can meet the requirements of the control of Brushless DC motor system, including fast response speed, stable control, small overshoot in the no-load test conditions.