• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 58 Issue 2
Apr.  2023
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Article Contents
SHI Wenku, ZHANG Shuguang, CHEN Zhiyong, ZHANG Youkun. Modeling and Vibration Analysis of Semi-active Seat Suspension with Magnetorheological Damper[J]. Journal of Southwest Jiaotong University, 2023, 58(2): 253-260. doi: 10.3969/j.issn.0258-2724.20210882
Citation: SHI Wenku, ZHANG Shuguang, CHEN Zhiyong, ZHANG Youkun. Modeling and Vibration Analysis of Semi-active Seat Suspension with Magnetorheological Damper[J]. Journal of Southwest Jiaotong University, 2023, 58(2): 253-260. doi: 10.3969/j.issn.0258-2724.20210882

Modeling and Vibration Analysis of Semi-active Seat Suspension with Magnetorheological Damper

doi: 10.3969/j.issn.0258-2724.20210882
  • Received Date: 16 Nov 2021
  • Rev Recd Date: 17 Feb 2022
  • Available Online: 28 Mar 2023
  • Publish Date: 05 Mar 2022
  • 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.

     

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  • [1]
    ROSLI R, MOHAMED Z. Optimization of modified Bouc–Wen model for magnetorheological damper using modified cuckoo search algorithm[J]. Journal of Vibration and Control, 2021, 27(17/18): 1956-1967.
    [2]
    XIAO P, GAO H, NIU L M. Research on magnetorheological damper suspension with permanent magnet and magnetic valve based on developed FOA-optimal control algorithm[J]. Journal of Mechanical Science and Technology, 2017, 31(7): 3109-3119. doi: 10.1007/s12206-017-0601-7
    [3]
    ZHU H T, RUI X T, YANG F F, et al. Semi-active scissors-seat suspension with magneto-rheological damper[J]. Frontiers in Materials, 2020, 7: 591283.1-591283.13.
    [4]
    CHEN Q, ZHANG Y, ZHU C W, et al. A sky-hook sliding mode semiactive control for commercial truck seat suspension[J]. Journal of Vibration and Control, 2021, 27(11/12): 1201-1211.
    [5]
    LIU X H, WANG N N, WANG K, et al. Optimizing vibration attenuation performance of a magnetorheological damper-based semi-active seat suspension using artificial intelligence[J]. Frontiers in Materials, 2019, 6: 269.1-269.12.
    [6]
    WANG E R, MA X Q, RAKHELA S, et al. Modelling the hysteretic characteristics of a magnetorheological fluid damper[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2003, 217(7): 537-550. doi: 10.1243/095440703322114924
    [7]
    ZHU H T, RUI X T, YANG F F, et al. An efficient parameters identification method of normalized Bouc-Wen model for MR damper[J]. Journal of Sound and Vibration, 2019, 448: 146-158. doi: 10.1016/j.jsv.2019.02.019
    [8]
    HE Y C, LIANG G Q, XUE B, et al. A unified MR damper model and its inverse characteristics investigation based on the neuro-fuzzy technique[J]. International Journal of Applied Electromagnetics and Mechanics, 2019, 61(2): 225-245. doi: 10.3233/JAE-180114
    [9]
    LV H Z, ZHANG S S, SUN Q, et al. The dynamic models, control strategies and applications for magnetorheological damping systems: a systematic review[J]. Journal of Vibration Engineering and Technologies, 2021, 9(1): 131-147.
    [10]
    TSANG H H, SU R K L, CHANDLER A M. Simplified inverse dynamics models for MR fluid dampers[J]. Engineering Structures, 2006, 28(3): 327-341. doi: 10.1016/j.engstruct.2005.06.013
    [11]
    KHALID M, YUSOF R, JOSHANI M, et al. Nonlinear identification of a magneto-rheological damper based on dynamic neural networks[J]. Computer-Aided Civil and Infrastructure Engineering, 2014, 29(3): 221-233. doi: 10.1111/mice.12005
    [12]
    ASKARI M, LI J C, SAMALI B, et al. Experimental forward and inverse modelling of magnetorheological dampers using an optimal Takagi–Sugeno–Kang fuzzy scheme[J]. Journal of Intelligent Material Systems and Structures, 2016, 27(7): 904-914. doi: 10.1177/1045389X15604403
    [13]
    薛兵,杜永昌,刘源,等. 基于机理的磁流变减震器滞回特性魔术公式模型[J]. 振动工程学报,2017,30(5): 774-780. doi: 10.16385/j.cnki.issn.1004-4523.2017.05.010

    XUE Bing, DU Yongchang, LIU Yuan, et al. A mechanism-based magic formula model for hysteretic characteristics of magneto rheological damper[J]. Journal of Vibration Engineering, 2017, 30(5): 774-780. doi: 10.16385/j.cnki.issn.1004-4523.2017.05.010
    [14]
    于建强. 汽车剪式座椅悬架磁流变旋转式阻尼器螺旋流动机理及其关键技术[D]. 重庆: 重庆大学, 2018
    [15]
    YU J Q, DONG X M, ZHANG Z L. A novel model of magnetorheological damper with hysteresis division[J]. Smart Materials and Structures, 2017, 26(10): 105042.1-105042.15.
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