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Model Predictive Current Control of Permanent Magnet Synchronous Motor Based on Sliding‐Mode Disturbance Observer.

Authors :
Ma, Shuhang
Zhao, Jinghong
Yang, Lv
Luo, Xiangyu
Ran, Guangpu
Source :
IEEJ Transactions on Electrical & Electronic Engineering. Jun2024, Vol. 19 Issue 6, p1068-1078. 11p.
Publication Year :
2024

Abstract

A nonlinear multivariable highly coupled system that is susceptible to both internal and external perturbations is the permanent magnet synchronous motor. A new reaching law‐based control approach that combines a sliding‐mode disturbance observer and an enhanced two‐vector model predictive current control is suggested in order to enhance the dynamic performance of the permanent magnet synchronous motor and its robustness to system disturbances. First, a new reaching law is developed in this paper to resolve the conflict between the traditional reaching law's chattering of the system and the reaching time of the sliding‐mode surface. This new reaching law not only makes the system's response more rapid but also reduces chattering; second, taking into account the possibility of systems with internal parameter uptake and external load disturbance, a sliding‐mode disturbance observer based on t is developed. Finally, the q‐axis current obtained from the speed sliding‐mode control rate is added to the model predictive current control, and an optimal duty cycle model predictive current control based on space vector modulation is designed because the traditional two‐vector model predictive current control is to optimize the duty cycle and voltage vectors separately, and the switching frequency is not fixed. The method suggested in this research may successfully suppress the sliding‐mode control system chattering and increase the resilience and dynamic response performance of the speed control system, according to simulation findings compared to the traditional reaching law and traditional duty cycle. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19314973
Volume :
19
Issue :
6
Database :
Academic Search Index
Journal :
IEEJ Transactions on Electrical & Electronic Engineering
Publication Type :
Academic Journal
Accession number :
177061131
Full Text :
https://doi.org/10.1002/tee.24051