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Multidisciplinary optimization of electromagnetic linear actuators for direct-drive systems with a combination of static and dynamic performance

Xuwen Chi (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China)
Cao Tan (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China and Shandong Zhongbaokang Medical Equipment Co., Zibo, China)
Bo Li (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China)
Jiayu Lu (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China)
Chaofan Gu (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China)
Changzhong Fu (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo, China)

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering

ISSN: 0332-1649

Article publication date: 1 September 2022

Issue publication date: 20 January 2023

83

Abstract

Purpose

The purpose of this paper is to solve the common problems that traditional optimization methods cannot fully improve the performance of electromagnetic linear actuators (EMLAs).

Design/methodology/approach

In this paper, a multidisciplinary optimization (MDO) method based on the non-dominated sorting genetic algorithm-II (NSGA-II) algorithm was proposed. An electromagnetic-mechanical coupled actuator analysis model of EMLAs was established, and the coupling relationship between static/dynamic performance of the actuator was analyzed. Suitable optimization variables were designed based on fuzzy grayscale theory to address the incompleteness of the actuator data and the uncertainty of the coupling relationship. A multiobjective genetic algorithm was used to obtain the optimal solution set of Pareto with the maximum electromagnetic force, electromagnetic force fluctuation rate, time constant and efficiency as the optimization objectives, the final optimization results were then obtained through a multicriteria decision-making method.

Findings

The experimental results show that the maximum electromagnetic force, electromagnetic force fluctuation rate, time constants and efficiency are improved by 18.1%, 38.5%, 8.5% and 12%, respectively. Compared with single-discipline optimization, the effectiveness of the multidiscipline optimization method was verified.

Originality/value

This paper proposes a MDO method for EMLAs that takes into account static/dynamic performance, the proposed method is also applicable to the design and analysis of various electromagnetic actuators.

Keywords

Acknowledgements

This research is supported by the National Natural Science Foundation of China (Grant Nos. 51905319, 51975341,51875326) and the China Postdoctoral Science Foundation (Grant No. 2021M691984) and the Technology Development Fund Project of the Centre Guides Local Government of Shandong Province (YDZX20203700001177) and the Young Technology Talent Supporting Project of Shandong Province (SDAST2021qt20).

Funding: Young Technology Talent Supporting Project of Shandong Province (SDAST2021qt20), Technology Development Fund Project of the Centre Guides Local Government of Shandong Province (YDZX20203700001177), National Natural Science Foundation of China (51875326), National Natural Science Foundation of China (51905319), National Natural Science Foundation of China (51975341), China Postdoctoral Science Foundation (2021M691984).

Citation

Chi, X., Tan, C., Li, B., Lu, J., Gu, C. and Fu, C. (2023), "Multidisciplinary optimization of electromagnetic linear actuators for direct-drive systems with a combination of static and dynamic performance", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 42 No. 2, pp. 476-493. https://doi.org/10.1108/COMPEL-03-2022-0104

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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