基于鱼群算法优化的PMSM二自由度内模控制

Internal Model Control With Two Degree of Freedom for PMSM Based on Fish Swarm Algorithm Optimization

二自由度内模控制(2DOF-IMC)是一种能够实现系统跟随性能和抗干扰性能独立调节的先进控制方法,能使电机获得更好的调速性能,但其参数仍需复杂的人工调节。在2DOF-IMC基础上引入人工鱼群智能算法,通过采集转速信号并依据代价函数进行离线优化,对控制器参数进行全局寻优。实验结果表明,经过参数优化后的永磁同步电机(PMSM)调速系统具有更好的响应速度和控制精度。

Two degree of freedom internal model control（2DOF-IMC） is an advanced control method, which can adjust the tracking performance and the disturbance rejection performance of the system independently.The method can make the speed regulation performance of motor better,but its parameters still need to be adjusted manually.Artificial fish swarm algorithm is introduced.According to speed signal and cost function ,the offline-optimization algorithm is used for controller parameters global optimization.Experimental results show the permanent magnet synchronous motor（PMSM） speed regulating system with parameters optimized has a good performance on response speed and control precision.