Active disturbance Rejection Feedforward Control of PMSM Based on Particle Swarm Optimization
In order to improve the anti-interference ability of the active disturbance rejection control-ler,an active disturbance rejection feedforward control strategy of permanent magnet synchronous motor(PMSM)based on particle swarm optimization was proposed.Based on the traditional active distur-bance rejection controller,a new cascade observer was designed to feed forward some observed distur-bance terms to the controller.The particle swarm optimization algorithm was used to iteratively optimize the key adjustable parameters in the controller.The extended Kalman filter was introduced to filter out the interference and noise in the current measurement and improve the system control performance.The simulation results show that the designed control strategy can effectively improve the anti-load distur-bance ability of the system and has more stable steady-state speed regulation characteristics.
万方数据
维普
