Research on online optimization scheme and deployment of PMSM control parameters based on honey badger algorithm

Permanent magnet synchronous motor (PMSM) drive systems are receiving increasing attention due to their superior control quality and efficiency. Optimizing the control parameters are key to achieve the high-performance operation of PMSMs. Although heuristic algorithms demonstrate excellent optimization outcomes in simulations, there are still challenges in deploying optimization schemes in practical drives. In this study, a real-time online deployable control parameter optimization scheme is proposed. The optimization effect is evaluated through the system step response performance, and a framework for deploying optimization algorithms within the driver is developed. A fault suppression mechanism is also designed to mitigate overshoot and vibration issues caused by suboptimal solutions. The proposed scheme is validated on a rapid prototyping control platform. Experimental results confirm that the scheme exhibits good optimization performances across various operating conditions. The honey badger algorithm employed in this paper shows faster convergence and more stable optimization effects than other optimization algorithms. The optimization effect is improved by 2.2% and its performance in terms of consistency across multiple optimization results has increased by 40%.

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Publication Details

Journal
Scientific Reports
Published
2024-11-04
DOI
https://doi.org/10.1038/s41598-024-77225-9
Citations
5
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
1.64

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article

Research on online optimization scheme and deployment of PMSM control parameters based on honey badger algorithm

Jinwen Yang, Dequan Zeng, Yi-Ming Hu, Giuseppe Carbone et al.
5 citations
Scientific Reports
Industrial Technology and Control Systems
1.64
article

Research on online optimization scheme and deployment of PMSM control parameters based on honey badger algorithm

Jinwen Yang, Dequan Zeng, Yi-Ming Hu, Giuseppe Carbone, Xiaofeng Zhu, Yinquan Yu
article en
5 citations

Abstract

Permanent magnet synchronous motor (PMSM) drive systems are receiving increasing attention due to their superior control quality and efficiency. Optimizing the control parameters are key to achieve the high-performance operation of PMSMs. Although heuristic algorithms demonstrate excellent optimization outcomes in simulations, there are still challenges in deploying optimization schemes in practical drives. In this study, a real-time online deployable control parameter optimization scheme is proposed. The optimization effect is evaluated through the system step response performance, and a framework for deploying optimization algorithms within the driver is developed. A fault suppression mechanism is also designed to mitigate overshoot and vibration issues caused by suboptimal solutions. The proposed scheme is validated on a rapid prototyping control platform. Experimental results confirm that the scheme exhibits good optimization performances across various operating conditions. The honey badger algorithm employed in this paper shows faster convergence and more stable optimization effects than other optimization algorithms. The optimization effect is improved by 2.2% and its performance in terms of consistency across multiple optimization results has increased by 40%.

Scientific ReportsVol. 14(1)
East China Jiaotong University (CN), University of Calabria (IT)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province, Natural Science Foundation for Young Scientists of Shanxi Province, Young Scientists Fund
Openalex Percentile: Top 15%
Industrial Technology and Control Systems
1.64
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