PMSM模糊FO-PID型迭代学习转矩脉动抑制

Torque Ripple Reduction for PMSM Using Fuzzy FO-PID Iterative Learning Control

针对永磁同步电机低速运行时存在的转矩脉动问题,提出模糊分数阶PID型迭代学习控制策略。首先,分析永磁同步电机转矩脉动的来源并建立数学模型。然后,在迭代学习控制基础上,为解决控制器调节范围有限的问题,提出分数阶PID型迭代学习控制方案,将微积分阶次由整数扩展至任意实数,并为解决参数选取困难的问题引入模糊控制理论,实现对控制器参数的实时在线调节。实验表明,所提控制算法能有效抑制输出转矩脉动,提高控制系统的动态性能与稳定性,呈现出更强的抗干扰性能,以期为解决永磁同步电机转矩脉动问题提供新的方法与思路。

Aiming at the torque ripple of permanent magnet synchronous motor at low speed,a fuzzy fractional PID iterative learning control strategy is proposed.Firstly,the source of torque ripple of permanent magnet synchronous motor is analyzed and the mathematical model is established.Then,on the basis of iterative learning control,in order to solve the problem of limited adjustment range of the controller,a fractional-order PID type iterative learning control scheme is proposed,which extends the order of calculus from integer to any real number,and introduces fuzzy control theory to solve the problem of difficult parameter selection to realize real-time online adjustment of the controller parameters.The experimental results show that the proposed control algorithm can effectively suppress the output torque ripple,improve the dynamic performance and stability of the control system,and present a stronger anti-interference performance,in order to provide new methods and ideas for solving the torque ripple problem of permanent magnet synchronous motor.