An Improved Model-Free Current Predictive Control Method for SPMSM Drives
Xuerong Li, Yang Wang, Xingzhong Guo, Xing Cui, Shuo Zhang, LI Yong-shen
Abstract
To improve the parameter robustness of model predictive current control (MPCC), a model-free current predictive control method that combines ultra-local model and sliding mode observer is proposed. First, the prediction model of MPCC based on the mathematical model of surface-mounted permanent magnet synchronous motor (SPMSM) is replaced by ultra-local model that does not use any motor parameters. Second, the sliding mode observer is adopted to observe the parameter of ultra-local model and compensate parameters disturbance. Finally, the stability of the observer is proved by the Lyapunov stability criterion. The traditional MPCC method and the proposed method are comparatively analyzed, simulation and experimental results show that the proposed method can improve the parameter robustness of MPCC.