基于快速超扭曲算法的永磁同步电机预测控制

Predictive Control of Permanent Magnet Synchronous Motor Based on Fast Super-twisting Algorithm

针对永磁同步电机转速电流双预测调速系统动态响应慢及快速超扭曲控制抖振过大的问题,提出了一种基于快速超扭曲算法的无差拍电流预测控制。该控制策略的转速环为快速二阶super-twisting滑模控制,电流环为无差拍电流预测控制,同时设计了扩张观测器来实时估计系统的负载扰动。采用此算法使系统的响应时间提高了6.8 ms,稳速时的转速跟踪误差仅为-0.01~0 rpm,有效的解决了传统预测控制中快速性与鲁棒性之间的矛盾,同时也提高了传统二阶滑模控制算法的收敛速度。仿真结果表明,本文所提控制算法可有效提高PMSM控制系统的动态响应速度和稳态控制精度,增强系统的鲁棒性。

According to the problem of slow dynamic response of speed and current dual predictive speed regulation system of permanent magnet synchronous motor and excessive chattering array of super-twisting control,a deadbeat current predictive control based on fast super-twisting algorithm is proposed.The speed loop of the control strategy is a fast second-order super-twisting sliding mode control,and the current loop is a deadbeat current predictive control.At the same time,an extended observer is designed to estimate the load disturbance of the system in real time.Using this algorithm,the response time of the system is increased by 6.8 ms,and the speed tracking error at steady speed is only-0.01~0 rpm,which effectively solves the contradiction between rapidity and robustness in the traditional predictive control,and improves the convergence speed of the traditional second-order sliding mode control algorithm.Simulation results show that the proposed control algorithm can effectively improve the dynamic response speed and steady-state control accuracy of PMSM control system,and enhance the robustness of the system.