Predictive Current Control of Permanent Magnet Synchronous Motor Model Based on Fuzzy Sorting

doi:10.3969/j.issn.1008-0198.2024.04.009

Abstract

Abstract: Aiming at the problem of difficult design of cost function weight coefficients in model predictive current control of permanent magnet synchronous motor, a model predictive current control strategy based on fuzzy sorting method is proposed. First, the current errors and the switching frequency corresponding to different voltage vectors during the switching are sorted by the sorting method, thus eliminating the need to design the weigh coefficients. Since the control objectives are not exactly equal in importance, a sorting optimization method with variable gain coefficients is designed to adjust the importance of the control objectives by using the variable gain coefficients. Compared with the conventional weight coefficients, the variable gain coefficients have discrete segmentation characteristics, so their adjustment process can be effectively simplified. The variable gain coefficients are then dynamically optimized by means of fuzzy control to better adapt to the ever-changing operating conditions of the motor. Finally, the validity and feasibility of the method proposed in this paper is demonstrated by simulation and experimental results.

Key words: permanent magnet synchronous motor, model predictive current control, fuzzy control, sorting method, weight coefficients

CLC Number:

TM341

ZHANG Xueyi, XIE Mu, LUO Zhaoxu, CHENG Zhun. Predictive Current Control of Permanent Magnet Synchronous Motor Model Based on Fuzzy Sorting[J]. Hunan Electric Power, 2024, 44(4): 59-67.

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