四川轻化工大学学报（自然科学版）2024，Vol.37Issue(1)：35-42,8.DOI:10.11863/j.suse.2024.01.05
基于响应面-遗传算法的印制电路板参数识别
Parameter Identification of Aircraft Printed Circuit Board Global Finite Element Model Based on RS and GA
摘要
Abstract
The Printed Circuit Board Assembly(PCBA)is widely used in aerospace equipment.The necessary prerequisite for analyzing and optimizing the vibration reliability of electronic equipment in aviation equipment is to establish an accurate PCBA finite element model.Aiming at the physical parameters of PCBA finite element model are difficult to obtain through experiments,taking an aircraft electronic equipment PCBA as a case,first through the Central Composite Design(CCD)of the Minimum Run with Resolution V(MRRV).Secondly,the response surface function coefficients are determined according to the least square method and the response surface accuracy test is completed.The multi-objective function of the error between the response value and the modal test results is constructed.Thirdly,the Non-dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ)is used for multi-target parameter identification.The identified parameters are substituted into the Abaqus finite element model for simulation analysis.Lastly,the results of modal test are compared with the random vibration test.The results show that the average error of modal frequency is reduced to 2.70%,and the average error of random vibration response is 5.83%,which verified the effectiveness of this method for the identification of PCBA model parameters in airborne vibration environment.关键词
印制电路板/数值试验设计/模型参数识别/响应面法/非支配排序遗传算法Key words
printed circuit board/numerical experimental design/model parameter identification/response surface method/Non-dominated Sorting Genetic Algorithm-Ⅱ分类
数理科学引用本文复制引用
李晨现,高芳清,舒文浩..基于响应面-遗传算法的印制电路板参数识别[J].四川轻化工大学学报（自然科学版）,2024,37(1):35-42,8.基金项目
工信部基金项目(MJZ-2018-S-51) （MJZ-2018-S-51）
