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Multi-objective optimization design of novel tubular switched reluctance motor

Yiming Zhan (School of Electrical Engineering, China University of Mining and Technology, Xuzhou, China)
Hao Chen (School of Electrical Engineering, China University of Mining and Technology, Xuzhou, China; International Joint Research Center of Central and Eastern European Countries on New Energy Electric Vehicle Technology and Equipment, Xuzhou, China; International Cooperation Joint Laboratory of New Energy Power Generation and Electric Vehicles of Jiangsu Province Colleges and Universities, Xuzhou, China and Xuzhou Key Laboratory of New Energy Electric Vehicle Technology and Equipment, Xuzhou, China)
Mengyu Hua (School of Electrical Engineering, China University of Mining and Technology, Xuzhou, China)
Jinfu Liu (School of Electrical Engineering, China University of Mining and Technology, Xuzhou, China)
Hao He (School of Electrical Engineering, China University of Mining and Technology, Xuzhou, China)
Patrick Wheeler (School of Electrical Engineering, University of Nottingham, University Park Campus, Nottingham, UK)
Xiaodong Li (Faculty of Innovation Engineering, Macau University of Science and Technology, Macau, China)
Vitor Fernao Pires (Polytechnic Institute of Setúbal, Setúbal School of Technology, Setubal, Portugal)

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

ISSN: 0332-1649

Article publication date: 28 February 2023

Issue publication date: 23 November 2023

121

Abstract

Purpose

The purpose of this paper is to achieve the multi-objective optimization design of novel tubular switched reluctance motor (TSRM).

Design/methodology/approach

First, the structure and initial dimensions of TSRM are obtained based on design criteria and requirements. Second, the sensitivity analysis rules, process and results of TSRM are performed. Third, three optimization objectives are determined by the average electromagnetic force, smoothing coefficient and copper loss ratio. The analytic hierarchy process-entropy method-a technique for order preference by similarity to an ideal solution-grey relation analysis comprehensive evaluation algorithm is used to optimize TSRM. Finally, a prototype is manufactured, a hardware platform is built and static and dynamic experimental validations are carried out.

Findings

The sensitivity analysis reveals that parameters significantly impact the performance of TSRM. The results of multi-objective optimization show that the average electromagnetic force and smoothing coefficient after optimization are better than before, and the copper loss ratio reduces slightly. The experimental and simulated results of TSRM are consistent, which verifies the accuracy of TSRM.

Research limitations/implications

In this paper, only three optimization objectives are selected in the multi-objective optimization process. To improve the performance of TSRM, the heating characteristics, such as iron loss, can be considered as the optimization objective for a more comprehensive analysis of TSRM performance.

Originality/value

A novel motor structure is designed, combining the advantages of the TSRM and the linear motor. The established sensitivity analysis rules are scientific and suitable for the effects of various parameters on motor performance. The proposed multi-objective optimization algorithm is a comprehensive evaluation algorithm. It considers subjective weight and objective weight and fully uses the original data and the relational degree between the optimization objectives.

Keywords

Acknowledgements

Funding: National Natural Science Foundation of China under Grant 51977209 and Cooperation and Exchange Program between NSFC and RS under Grant 52211530083, and in part by the Xuzhou Special Fund Project for Promoting Scientific and Technological Innovation Capacity Building Plan under Grant KC21315.

Citation

Zhan, Y., Chen, H., Hua, M., Liu, J., He, H., Wheeler, P., Li, X. and Fernao Pires, V. (2023), "Multi-objective optimization design of novel tubular switched reluctance motor", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 42 No. 6, pp. 1434-1455. https://doi.org/10.1108/COMPEL-09-2022-0340

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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