摘要
磁流变阻尼器力学模型及控制电流逆模型对半主动控制系统的控制精度具有重要影响.采用正弦及余弦型魔术公式,基于骨架曲线与滞回分离的建模方法,建立改进的磁流变阻尼器动态阻尼力模型;采用基于Sobol序列的差分-禁忌混合优化算法对阻尼力模型进行参数识别,构建包含激励特性及控制电流参数的通用数学模型;在试验测试及正向模型基础上,利用自适应神经模糊系统建立阻尼器控制电流逆模型.研究结果表明:本文建立的正逆模型均能够有效表征磁流变阻尼器的非线性行为及滞回特性;改进魔术公式模型在不同激励特性及电流工况下的平均百分比误差在3.4%附近变化;逆向动力学模型计算的控制电流误差均方根值为0.086 9~0.1171 A;经过控制电流逆模型与阻尼器正向模型串联模型计算的预测阻尼力误差均方根值为阻尼器最大阻尼力的5.6%;通过试验测试与仿真结果对比,验证了本文提出的阻尼器数学模型具有较好的精度和适用性,能够改善座椅悬架系统振动传递特性.
The magnetorheological(MR)damper has attracted an increasing amount of attention in the field of vibration control because of its excellent adjustable damping performance.A modified model based on the modeling method of skeleton curve and hysteresis separation is proposed with sine and cosine magic formulas of MR damper in this study.The sobol sequence-based differential-tabu hybrid algorithm(SS-DTHA)is used to identify the parameters of the damping force model,and a general mathematical model including excitation characteristics and control current parameters is established.On the basis of test data and forward damper force model,the inverse model of MR damper control current is established by using adaptive-network-based fuzzy inference systems(ANFIS).The results show that the forward and inverse models established in this paper can better characterize the nonlinear behavior and hysteretic characteristics of the magnetorheological damper.The average percentage error of the improved magic formula model varies around 3.4%under different excitation characteristics and current conditions.The root means square(RMS)error of control current calculated by inverse dynamics model is 0.0869−0.1171 A.The RMS of error between the predicted damping force calculated by the control current inverse model and the damper forward model in series is 5.6%of the maximum damping force of the damper.Through the comparison of test data and simulation results,it is proved that the mathematical model of damper proposed in this paper has good accuracy and applicability,and can improve the vibration transmission characteristics of seat suspension system.
作者
史文库
张曙光
陈志勇
张友坤
SHI Wenku;ZHANG Shuguang;CHEN Zhiyong;ZHANG Youkun(State Key Laboratory of Automobile Simulation and Control,Jilin University,Changchun 130000,China)
出处
《西南交通大学学报》
EI
CSCD
北大核心
2023年第2期253-260,共8页
Journal of Southwest Jiaotong University
基金
国家重点研发计划(2018YFB0106200)。
关键词
车辆工程
座椅悬架
磁流变阻尼器
振动控制
数学模型
automotive engineering
seat suspension
MR damper
vibration control
mathematical models
