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| 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 |
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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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Received: 20 April 2020
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2021, Vol. 36 
