An Improved Model−Free Current Predictive Control of Permanent Magnet Synchronous Motor Based on High−Gain Disturbance Observer

Yufeng Zhang (), Zihui Wu, Qi Yan, Nan Huang and Guanghui Du
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Yufeng Zhang: School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
Zihui Wu: School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
Qi Yan: School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
Nan Huang: School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
Guanghui Du: School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, China

Energies, 2022, vol. 16, issue 1, 1-16

Abstract: Predictive current control (PCC) is an advanced control strategy for permanent magnet synchronous motors (PMSM). When the motor drive system is undisturbed, predictive current control exhibits a good dynamic response speed and steady−state performance, but the conventional PCC control performance of PMSM that depends on the motor body model is vulnerable to parameter perturbation. Aiming at this problem, an improved model−free predictive current control (IMFPCC) strategy based on a high−gain disturbance observer (HGDO) is proposed in this paper. The proposed strategy is introduced with the idea of model−free control, relying only on the system input and output to build an ultra−local current prediction model, which gets rid of the constraints of the motor body parameters. In the paper, the ultra−local structure is optimized by comparing and analyzing the equation of the state of the classical ultra−local structure and PMSM system. The system’s current state variables are incorporated into the ultra−local system modeling, as a result, the current estimation errors existing in the classical ultra−local structure are eliminated. For the unmodeled and parametric perturbation part of the ultra−local system, a high−gain disturbance observer is designed to estimate it in real time. Finally, the proposed IMFPCC strategy is compared with the conventional model−based predictive current control (MPCC) and the conventional model−free predictive current control (CMFPCC) in simulation and experiment. The results show that the current steady−state error of the IMFPCC strategy in the case of parameter variation is only 50% of the MPCC method, which proves the effectiveness and correctness of the proposed strategy.

Keywords: permanent magnet synchronous motor; predictive current control; improved ultra?local model; high?gain disturbance 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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