Permanent Magnet Synchronous Motor Control Based on Improved Sliding Mode Controller
The overshoot of the traditional sliding mode control system is too large when the surface-mounted permanent magnet synchronous motor is disturbed by the external disturbance.Therefore,a method of online optimization of the sliding mode surface coefficient based on model prediction was pro-posed.In order to reduce the overshoot of the control system,the sliding mode observer was used to ob-serve the speed and position of the system,and the sliding mode surface coefficient was predicted.The optimal sliding mode surface was selected by the value function so that the state variables could quickly converge to the sliding mode surface.The simulation results show that the proposed method has higher anti-interference compared with the traditional sliding mode control.