Finite Control Set Model-Free Predictive Current Control of a Permanent Magnet Synchronous Motor

Mingmao Hu, Feng Yang, Yi Liu and Liang Wu
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Mingmao Hu: School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China
Feng Yang: School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China
Yi Liu: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Liang Wu: School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, China

Energies, 2022, vol. 15, issue 3, 1-18

Abstract: In this paper, a finite control set model-free predictive current control (FCS-MFPCC) of a permanent magnet synchronous motor is presented. The control scheme addresses the problems of large current fluctuation and decline of the motor system performance during parameter perturbation for the traditional finite control set model predictive current control (FCS-MPCC). Firstly, the mathematical model of the motor is analyzed and derived during parameter perturbation, and a new hyperlocal model of the motor is established based on this mathematical model. Secondly, a finite control set model-free predictive current controller is designed based on the new hyperlocal model, and a current error correction factor is introduced to correct the prediction error. Meanwhile, the stability of the observer is demonstrated via the Lyapunov theory. The simulation results show that the proposed control strategy reduces current fluctuation compared with the FCS-MPCC strategy, and the system is robust during parameter perturbation.

Keywords: permanent magnet synchronous motor; hyperlocal model; parameter perturbation; sliding mode observer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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