高频大力值电磁作动器多目标参数分层优化方法研究  

Research on Multi-objective Parameter Hierarchical Optimization Method of High Frequency High-Force Electromagnetic Actuator

作　　者：邱明明[1,2] 李增援 孙艺铭 李季 赵韩 Qiu Mingming;Li Zengyuan;Sun Yiming;Li Ji;Zhao Han(School of Mechanical Engineering,Hefei University of Technology,Hefei 230009;National and Local Joint Engineering Research Center of Automotive Technology and Equipment,Hefei 230009;Anhui Weiwei Rubber Parts Group Co.,Ltd.,Tongcheng 231400)

机构地区：[1]合肥工业大学机械工程学院,合肥230009 [2]汽车技术与装备国家地方联合工程研究中心,合肥230009 [3]安徽微威胶件集团有限公司,桐城231400

出　　处：《汽车工程》2025年第3期529-540,共12页Automotive Engineering

基　　金：安徽省经信厅揭榜挂帅项目(JB22075)资助。

摘　　要：为了满足主动悬置用电磁作动器输出力值大、工作频率高和力位移线性度好的要求,针对不同结构参数对优化目标影响互异,动态电磁力难以用解析公式表达,且输出力值、工作频率和力位移特性难以同时达到最优的问题,提出了一种多目标参数分层优化方法。上层,采用Taguchi算法进行参数初步优化,筛选敏感参数并对高敏感度参数优化范围进行更新;下层,利用反向传播(back propagation,BP)神经网络预测模型来表征动态电磁力,采用多目标遗传算法(NSGA-II)搜索寻优。仿真及实验结果表明,采用本文优化方法获得的电磁作动器参数具有更好的综合性能,验证了本文方法的有效性。In order to meet the requirements of large output force value,high working frequency and good linearity of force-displacement of electromagnetic actuator for active mounting,a multi-objective parameter hierarchical optimization method is proposed to solve the problems of different influence of different structural parameters on optimization objectives,difficulty of expression of dynamic electromagnetic force by analytical formula,and difficulty of realization of optimal characteristics at the same time of the output force value,working frequency and forcedisplacement.In the upper layer,Taguchi algorithm is used to preliminarily optimize parameters,screen sensitive parameters and update the optimization range of high sensitivity parameters.In the lower layer,the backpropagation(BP)neural network prediction model is used to characterize the dynamic electromagnetic force,and the multi-objective genetic algorithm(NSGA-II)is used to search and optimize the dynamic electromagnetic force.Through simulation and experiments,the results show that the parameters of electromagnetic actuator obtained by the optimization method in this paper have better comprehensive performance,which verifies the effectiveness of this method.

关 键 词：分层优化 多目标优化设计 电磁作动器 Taguchi法 BP神经网络 

分 类 号：TH703[机械工程—仪器科学与技术]