永磁电机的模糊滑模参数自整定内模PI控制

Permanent magnet synchronous motor control based on fuzzy sliding mode parameter self-adjusting internal mode PI

为改善永磁同步电机(PMSM)的转速跟随特性和转矩输出特性,提出了一种基于模糊滑模参数自整定内模PI的永磁同步电机控制方法(FSMC-IMPI).该方法采用模糊逻辑算法实现了滑模趋近参数的自整定,并且使用双曲正切函数代替符号函数,采用内模控制算法进行PI参数整定,简化了电流环的控制参数.该方法能有效抑制滑模抖振,提高了系统的调节速度.此外,利用该算法分别设计了模糊滑模速度控制器和内模PI电流控制器,并进行了仿真实验验证.实验结果表明,与传统的PI控制和传统滑模控制相比,所提出的模糊滑模参数自整定内模PI控制能够减小滑模控制中固有的抖振现象,并且能够有效提高系统的动态特性和鲁棒性.

To improve the speed following characteristics and torque output characteristics of permanent magnet synchronous motor(PMSM),a PMSM control method based on fuzzy sliding mode parameter self-adjusting internal mode PI(FSMC-IMPI) is proposed. The method uses a fuzzy logic algorithm to realize the self-tuning of the sliding mode convergence parameters,and uses a hyperbolic tangent function instead of a symbolic function,and an internal-mode control algorithm for PI parameter tuning,which simplifies the control parameters of the current loop.This method can effectively suppress the sliding mode chattering and improve the regulation speed of the system.In addition,the fuzzy sliding-mode speed controller and the internal-mode PI current controller are designed respectively by using this algorithm,and the simulation experiments are conducted to verify them.The experimental results show that the proposed fuzzy sliding mode parameter self-tuning internal mode PI control can reduce the chattering phenomenon inherent in the sliding mode control and effectively improve the dynamic characteristics and robustness of the system compared with the traditional PI control and the traditional sliding mode control.