基于魔术公式的磁流变阻尼器参数化模型研究
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摘要
为更好地描述磁流变阻尼器滞环等非线性特性,将修改的魔术公式引入磁流变阻尼器建模中,建立了新的磁流变阻尼器魔术公式模型.分析了模型参数与电流和外部激励之间的耦合关系,利用遗传算法对该模型参数进行辨识.将与阻尼器实验数据拟合的魔术公式模型,在不同工况下与目前常用的现象模型进行了仿真对比和误差分析.结果表明:新模型结构简单,能更好地描述阻尼力与外部激励之间的耦合关系,参数辨识方便快捷,各工况下精度较高,具备较好的适应性和通用性.
In order to get a better description to the nonlinear characteristics of magnetorheological dampers,the magic formula was introduced into the general method of parametric modeling of magnetorheological dampers and a new magnetorheological damper magic formula model was proposed.The coupling relationship between model parameters and current with external excitation was analyzed,and the parameters of the model were identified by genetic algorithm.The magic formula model which was fitted with the damper experimental data was simulated and compared with the commonly used phenomena model under different working conditions.The results show that the new model is simple in structure and can better describe the coupling relationship between damping force and external excitation;its parameter identification is convenient and fast;the precision under various working conditions is higher,and it has better adaptability and versatility.
In order to get a better description to the nonlinear characteristics of magnetorheological dampers,the magic formula was introduced into the general method of parametric modeling of magnetorheological dampers and a new magnetorheological damper magic formula model was proposed.The coupling relationship between model parameters and current with external excitation was analyzed,and the parameters of the model were identified by genetic algorithm.The magic formula model which was fitted with the damper experimental data was simulated and compared with the commonly used phenomena model under different working conditions.The results show that the new model is simple in structure and can better describe the coupling relationship between damping force and external excitation;its parameter identification is convenient and fast;the precision under various working conditions is higher,and it has better adaptability and versatility.
引文
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[2]董小闵,彭少俊,于建强.自供电式汽车磁流变减振器特性研究[J].机械工程学报,2016,52(20):83-91.
[3]马涌泉,邱洪兴.对跨海桥梁震浪响应的半主动控制策略[J].华中科技大学学报:自然科学版,2014,42(4):116-121.
[4]张磊.基于磁流变阻尼器的飞机起落架控制方法研究[D].中国民航大学航空工程学院,2017.
[5]KAZAKOV Y B,MOROZOV N A,NESTEROV SA.Development of models of the magnetorheological fluid damper[J].Journal of Magnetism and Magnetic Materials,2016,10:doi:10.1016/j.jmmm.2016.10.006.
[6]CEZARY G,PIOTR P.Exact physical model of magnetorheological damper[J].Applied Mathematical Modelling,2017,2(35):11623.
[7]WANG D H,LIAO W H.Modeling and control of magnetorheological fluid dampers using neural networks[J].Smart Mater Struct,2004,14:111-126.
[8]MEGHA T L,DEVESH P S.Comparative study of smart base-isolation using fuzzy control and neural network[J].Procedia Engineering,2017(173):1825-1832.
[9]MA X Q,RAKHEJA S,SU C Y.Development and relative assessments of models for characterizing the current dependent hysteresis properties of magnetorheological fluid dampers[J].Journal of Intelligent Material Systems and Structures,2007,18(5):487-502.
[10]DAHL P R.Solid friction damping of mechanical vibrations[J].AIAA J,1976,14:1675-1682.
[11]SPENCER B F,DYKE S J,SAIN M K,et al.Phenomenological model for magnetorheological dampers[J].Eng Mech,1997,123:230-238.
[12]ZHU X,JING X,CHENG L.Magnetorheological fluid dampers:a review on structure design and analysis[J].Intell Mater Syst Struct,2012,23:839-853.
[13]SCHURTER K C,ROSCHKE P N.Fuzzy modeling of a magnetorheological damper using ANFIS Proc[C]//Proc of IEEE International Conference on Fuzzy Systems.San Antonio,TXUSA,2000:122-127.
[14]IKHOUANE F,RODELLAR J.Systems with hysteresis:analysis,identification and control using the Bouc-Wen model[M].Chichester:John Wildy&Sons Ltd,2007.
[15]IRETEANU T,GIUCLEA M,MITU A M.An analytical approach for approximation of experimental hysteretic loops by Bouc-Wen model[J].Proceedings of the Romanian Academy:Series A,2009,10(1):1-12.
[16]GIUCLEA M,SIRETEANU T,STANCIOIU D,et al.Mo-del parameter identification for vehicle vibration control with magnetorheological dampers using computational intelligence methods[J].Proceedings of the Institution of Mechanical Engineers,PartⅠ:Journal of Systems and Control Engineering,2004,218(I):569-581.
[17]KWOK N M,HA Q P,NGUYEN M T,et al.Bouc-Wen model parameter Identification for a MR fluid damper using computationally efficient GA[J].ISA Transactions,2007(46):167-179.
[18]刘永强,杨绍普,廖英英,等.基于遗传算法的磁流变阻尼器Bouc-Wen模型参数辨识[J].振动与冲击,2011,3(7):261-265.
[19]HANS B P.Tyre and Vehicle Dynamics[M].Oxford:Elsevier's Science and Technology Rights Department,2006.
[20]宗路航.磁流变阻尼器的动力学模型及其在车辆悬架中的应用研究[D].合肥:中国科学技术大学工程科学学院力学系,2013.