Current disturbance compensation of continuous model predictive control scheme for PMSMs

During the operation of a permanent magnet synchronous motor, limitations imposed by digital chips inevitably result in certain delays. Additionally, external environmental factors introduce variations in motor parameters. This study aims to comprehensively analyze these issues. Firstly, the control delay and disturbances caused by motor parameter changes are transformed into current disturbances using a uniform approach. Secondly, various sliding mode model predictive controllers are designed to effectively suppress the current disturbances arising from aforementioned reasons. Moreover, considering controller implementation aspects, this paper thoroughly discusses the influence of core controller parameters on current disturbances and their adaptability toward different parameter mismatches. Furthermore, extensive examination is conducted on global stability conditions for controller realization. Finally, experimental results validate that the proposed methods successfully optimize current disturbances originating from aforementioned causes.

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Publication Details

Journal
ISA Transactions
Published
2024-10-17
DOI
https://doi.org/10.1016/j.isatra.2024.10.007
Citations
2
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.66
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article

Current disturbance compensation of continuous model predictive control scheme for PMSMs

Xin Luo, Sai Zhang, Pan Luo, Anwen Shen et al.
2 citations
ISA Transactions
Advanced Control Systems Optimization
0.66
article

Current disturbance compensation of continuous model predictive control scheme for PMSMs

Xin Luo, Sai Zhang, Pan Luo, Anwen Shen, Qipeng Tang
article en
2 citations

Abstract

During the operation of a permanent magnet synchronous motor, limitations imposed by digital chips inevitably result in certain delays. Additionally, external environmental factors introduce variations in motor parameters. This study aims to comprehensively analyze these issues. Firstly, the control delay and disturbances caused by motor parameter changes are transformed into current disturbances using a uniform approach. Secondly, various sliding mode model predictive controllers are designed to effectively suppress the current disturbances arising from aforementioned reasons. Moreover, considering controller implementation aspects, this paper thoroughly discusses the influence of core controller parameters on current disturbances and their adaptability toward different parameter mismatches. Furthermore, extensive examination is conducted on global stability conditions for controller realization. Finally, experimental results validate that the proposed methods successfully optimize current disturbances originating from aforementioned causes.

ISA TransactionsVol. 155
Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 29%
Advanced Control Systems Optimization
0.66
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