关键词: 永磁同步电机, 粒子群算法, 自抗扰控制器, 稳定性

Abstract: To address the difficulties in parameter tuning and the need for improvement in the controller effect of traditional active disturbance rejection controllers, a control strategy for a permanent magnet synchronous motor position active disturbance rejection controller based on an improved fal function was proposed, aiming to optimize the control effect of the servo system. To solve the discontinuity problem of the fal function in the definition domain interval, the le _ fal function was designed to solve the jitter problem of the output gain of the fal function at the turning point, and at the same time , it reduces the parameters to be tuned by the controller. To address the difficulty in tuning the parameters of the active
disturbance rejection controller, a particle swarm algorithm was used to optimize the controller parameters. Simulation experiment results show that the improved active disturbance rejection controller parameter optimization algorithm based on particle swarm reduces the overshoot from 3. 101 6% of the traditional active disturbance rejection controller to 0. 337 5%, reduces the adjustment time from 3. 08 s to 0. 47 s, and reduces the steady-state error from 0. 063 3 to 0. 016 2. The results show that the Le_ADRC controller has better rapidity and robustness.

Key words: permanent magnet synchronous motor ( PMSM), particle swarm optimization ( PSO), active disturbance rejection controller( ADRC), stability