关键词: PID 自整定, 粒子群优化算法, 滑模观测器, 超螺旋算法, 自适应律, 锁相环

Abstract: The traditional PID controller in the vector control system of permanent magnet synchronous motor (PMSM) usually needs to adjust the parameters manually, which requires high experience level of the operator and is difficult to guarantee the control effect of the rectified parameters. To address this problem, the speed loop PID controller uses an improved particle swarm optimization algorithm to adjust the parameters to enhance the robustness of the motor control system. Sliding mold observer was widely used in PMSM position sensorless control due to its robustness and simple structure, however, the inherent jitter problem of sliding mode observer affects the control performance of the system to address this problem, the super-helix algorithm was introduced and the inverse potential adaptive law was designed according to the extended inverse potential model of PMSM, while the segmented function unit function was used. The segmented function unitized phase-locked loop was used to suppress the rotational speed jitter. The simulation results show that the PMSM improved sliding mode observer based on PID self-tuning can effectively suppress the system vibration with high accuracy.

Key words: PID self-tuning, particle swarm optimization algorithm, sliding mode observer, superhelix algorithm, adaptive law, phase-locked loop