Predictive current control based on dual vector permanent magnet synchronous motor model

Hui Wang; Guoning Shi; Yanqing Lin; Haiyang Zhang

doi:10.1117/12.2689412

7 September 2023 Predictive current control based on dual vector permanent magnet synchronous motor model

Hui Wang, Guoning Shi, Yanqing Lin, Haiyang Zhang

Author Affiliations +

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127903X (2023) https://doi.org/10.1117/12.2689412
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

This paper addresses the limitations of conventional model predictive current control (MPCC) of permanent magnet synchronous motors (PMSM) in selecting only one optimal voltage vector per sampling cycle and its poor steady-state performance. A dual-vector model predictive control strategy is proposed to distribute the action time and synthesize a new voltage vector to act on the permanent magnet synchronous motor to improve performance. In this paper, we propose to reduce the computational effort of MPCC traversal search optimization by reducing the selection range of two voltage vectors while ensuring the accuracy of the obtained voltage vectors. Simulation experiments are conducted to compare and analyze the dynamic and steady-state aspects of both the single-vector MPCC and the proposed improved dual-vector MPCC. The results indicate that the improved dual-vector MPCC performs better in dynamic and steady-state performance.

Citation Download Citation

Hui Wang, Guoning Shi, Yanqing Lin, and Haiyang Zhang "Predictive current control based on dual vector permanent magnet synchronous motor model", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127903X (7 September 2023); https://doi.org/10.1117/12.2689412

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