基于改进海鸥算法的磁流变减振器模型辨识  

Parameter identification of magnetorheological damper model with modified seagull optimization algorithm

作　　者：史文库[1] 张曙光[1] 张友坤[1] 陈志勇[1] 江逸飞 林彬斌 SHI Wen-ku;ZHANG Shu-guang;ZHANG You-kun;CHEN Zhi-yong;JIANG Yi-fei;LIN Bin-bin(State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,China)

机构地区：[1]吉林大学汽车仿真与控制国家重点实验室,长春130022

出　　处：《吉林大学学报（工学版）》2022年第4期764-772,共9页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家重点研发计划项目(2018YFB0106203)。

摘　　要：提出了一种磁流变减振器Bouc-Wen滞回模型参数的识别方法。基于新型元启发优化算法(海鸥算法),对描述磁流变减振器非线性力学特性的模型参数进行拟合识别,通过引入基于透镜折射成像的反向学习模型,改善了海鸥算法陷入局部最优的问题。该参数辨识方法计算结果准确,计算过程简单,计算结果鲁棒性强。通过对多工况下磁流变减振器力学特性试验数据进行拟合计算,建立了模型参数与控制电流之间的关系,进而建立了包含控制电流的磁流变减振器多工况通用模型,为磁流变半主动座椅悬架控制系统搭建提供了准确的力学模型。In this paper,a method is presented to identify parameters of Bouc-Wen hysteresis model of magnetorheological damper. Based on the new meta-heuristic algorithm—Seagull optimization algorithm,the model parameters describing the nonlinear mechanical properties of the magnetorheological damper were fitted and identified. The opposition-based learning model based on the principle of refraction was introduced to improve the problem of falling into local optimal of the seagull optimization algorithm. The calculation results of the parameter identification method are accurate,simple and robust. The relationship between the model parameters and the control current is established by fitting and calculating the test data of the magnetorheological damper under different operating conditions. A general model of the magnetorheological damper including the control current is established and provided an accurate mechanical model for semi-active seat suspension control system.

关 键 词：车辆工程 半主动悬架 磁流变减振器 参数辨识 元启发式智能算法 

分 类 号：U461.4[机械工程—车辆工程]