关键词: 无刷直流电机, 调速, 粒子群, 正交试验

Abstract:

In the double closed loop speed control system of brushless DC motor(BLDCM), it was difficult to satisfy the application in high speed, high precision or large load disturbance using the PID parameters obtained with traditional optimization methods. Based on the research of standard particle swarm optimization (PSO), an improved PSO algorithm using orthogonal test mechanism was designed to optimize the PID speed controller, which solved the problem of slow optimization rate and easy to fall into local optimum in optimizing PID parameters with traditional PSO algorithm. By comparing the simulation results, it was indicated that the PID control method based on improved PSO algorithm had faster adjusting speed, smaller overshoot and strong anti-interference ability in the double closed loop speed control system of BLDCM. This method provides a new idea for the optimization of speed control system of BLDCM.

Key words: brushless DC motor, speed control, particle swarm optimization, orthogonal test