Finite Control Set Model-Free Fault-Tolerant Predictive Control for Permanent Magnet Synchronous Motor
Zhao Kaihui1, Zhou Ruirui1, Leng Aojie1, Dai Wangke1, Huang Gang2
1. College of Electrical and Information Engineering Hunan University of Technology Zhuzhou 412007 China; 2. College of Traffic Engineering Hunan University of Technology Zhuzhou 412007 China
Abstract：To solve the performance degradation of traditional finite control set model predictive control (FCS-MPC) for motor parameters perturbation and permanent magnet (PM) demagnetization faults, this paper proposes a finite control set model-free fault-tolerant predictive control (FCS-MFFTPC) method for permanent magnet synchronous motor (PMSM) current control. Firstly, considering the uncertainty of motor parameters, according to the dq axis mathematical model of PMSM under parameters perturbation, a novel ultra-local model of PMSM is established based on system input and output data. Secondly, based on the novel ultra-local model, a FCS-MFFTPC controller for PMSM current loop is designed. The sliding mode observer is used to estimate the unknown part h in the novel ultra-local model of PMSM. Finally, compared with the traditional FCS-MPC method, the experimental results show that the proposed method proves to be fault-tolerant and robust to motor parameters perturbation and PM demagnetization faults.
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2021, Vol. 36 
