Multi-objective optimization design of single-stage electromagnetic needle selector with permanent magnet

Tao Wang; Zhen Mao; Cheng Ju

doi:10.1117/12.2672266

1 March 2023 Multi-objective optimization design of single-stage electromagnetic needle selector with permanent magnet

Tao Wang, Zhen Mao, Cheng Ju

Proceedings Volume 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022); 125960L (2023) https://doi.org/10.1117/12.2672266
Event: International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 2022, Changsha, China

Abstract

A multi-objective optimization method for electromagnetic actuator with permanent magnet is presented in this paper. The OLS-RBF neural network is improved by introducing gradient descent operator, and the coupling relationship between optimization objective and optimization factor of electromagnetic actuator with permanent magnet is fitted. NSGA-II algorithm is used to solve the multi-objective optimization of the approximate model obtained by fitting, and its effectiveness and feasibility are verified by simulation.

Citation Download Citation

Tao Wang, Zhen Mao, and Cheng Ju "Multi-objective optimization design of single-stage electromagnetic needle selector with permanent magnet", Proc. SPIE 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 125960L (1 March 2023); https://doi.org/10.1117/12.2672266

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