永磁单级电磁选针器多目标优化设计

International Conference on Mechatronics Engineering and Artificial Intelligence Pub Date : 2023-02-28 DOI:10.1117/12.2672266

Tao Wang, Zhen Mao, Cheng Ju

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引用次数: 0

摘要

提出了一种永磁电磁作动器的多目标优化方法。通过引入梯度下降算子对OLS-RBF神经网络进行改进，拟合了永磁电磁作动器优化目标与优化因子之间的耦合关系。采用NSGA-II算法求解拟合得到的近似模型的多目标优化问题，并通过仿真验证了该算法的有效性和可行性。

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

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.

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International Conference on Mechatronics Engineering and Artificial Intelligence

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