PMSM调速系统的自学习滑模控制

摘要

In order to solve the problem that the permanent magnet synchronous motor is sensitive to the external disturbance and the internal parameter perturbation,a self-learning sliding mode control method is proposed.A class of nonlinear smoothing functions is designed and applied to the extended state observer and the sliding mode approximation law,and the stepless descent method is used to update the gain parameters of the sliding mode controller in real time.The simulation results show that compared with the traditional PI control method,the control method not only has the advantages of fast response,high control precision,but also has strong anti-interference ability to the external disturbance of the system.%针对永磁同步电机存在对外界扰动及内部参数摄动较为敏感的问题,提出了一种自学习滑模控制方法.该方法设计了一类非线性光滑函数,并将其应用于扩张状态观测器和滑模趋近律中,同时采用最速下降法对滑模控制器增益参数进行自学习实时更新.仿真结果表明,与常规PI矢量控制方法相比,该控制方法不仅响应速度快、控制精度高,而且对系统外部扰动具有很强的抗扰能力.