Mechanical Engineering

High-Precision Improved Hyperbolic Tangent Model for Multi-Stage Flow Channel Magnetorheological Damper

  • DU Heng ,
  • Lü Yanting ,
  • HUANG Hui ,
  • MA Baizhou
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  • School of Mechanical Engineering and Automation/Key Laboratory of Fluid Power and Intelligent Electro-Hydraulic Control of Fujian Provincial Universities,Fuzhou University,Fuzhou 350108,Fujian,China
杜恒(1983—),男,教授,博士生导师,主要从事流体控制技术研究。E-mail: duheng@fzu.edu.cn

Received date: 2024-05-22

  Online published: 2025-01-16

Supported by

the National Natural Science Foundation of China(52105053)

Abstract

The multi-stage flow channel magnetorheological damper (MFC-MRD) in the hydraulic actuator can effectively improve the underdamping characteristics of hydraulic valve-controlled cylinder system and improve the stability of the system. It possesses potential application value in such equipment such as legged robots and excavators. However, the high power density design of MFC-MRD may inevitably increase the effective length of the damping channel, thereby increasing the damping force of the system, which makes the existing dynamic model cannot accurately describe the nonlinear hysteresis characteristics of MFC-MRD. In order to improve the nonlinear hysteresis characteristics of MFC-MRD, on the basis of mechanical performance test and by analyzing the multi-stage flow channel structure and nonlinear hysteresis curve characteristics, the hyperbolic tangent curve is segmented and reorganized, and then an improved hyperbolic tangent model conforming to the hysteresis characteristics is proposed. In the process of parameter identification, to avoid model parameters falling into local optimum and “premature”, the selection operator of genetic algorithm is improved, and a three-level stepwise approximation selection operator is proposed to improve the identification accuracy of model parameters. Moreover, the relationship between model parameters and current is accurately obtained according to the mechanical experimental data. The comparison results of different models show that the improved hyperbolic tangent model established in this paper is of higher accuracy than the Bouc-Wen model and the data-driven model because it can accurately describe the nonlinear hysteresis characteristics of MFC-MRD, with an accuracy increase of up to 75%.

Cite this article

DU Heng , Lü Yanting , HUANG Hui , MA Baizhou . High-Precision Improved Hyperbolic Tangent Model for Multi-Stage Flow Channel Magnetorheological Damper[J]. Journal of South China University of Technology(Natural Science), 2025 , 53(7) : 39 -49 . DOI: 10.12141/j.issn.1000-565X.240241

References

[1] ZHU X, JING X, CHENG L .Magnetorheological fluid dampers:a review on structure design and analysis[J].Journal of Intelligent Material Systems and Structures201223(8):839-873.
[2] WANG X, HAO W, LI G .Study on magnetorheological fluid damper[J].Applied Mechanics and Materials2013405-408:1153-1156.
[3] 陈淑梅,汤鸿剑,黄惠,等 .剪切挤压混合模式磁流变阻尼器的性能[J].华南理工大学学报(自然科学版)202149(2):140-150.
  CHEN Shumei, TANG Hongjian, HUANG Hui,et al .Performance of magnetorheological damper with shear-extrusion hybrid mode[J].Journal of South China University of Technology (Natural Science Edition)202149(2):140-150.
[4] KOU F .Design and test of vehicle semi-active suspension with magnetorheological damper[J].Transactions of the Chinese Society for Agricultural Machinery201647(4):280-287.
[5] 华德正,刘新华,赵欣,等 .基于磁流变液的球形磁控机器人设计及实验[J].华南理工大学学报(自然科学版)202149(2):151-160.
  HUA Dezheng, LIU Xinhua, ZHAO Xin,et al .Design and experiments of spherical magnetic actuated robot based on magnetorheological fluid[J].Journal of South China University of Technology (Natural Science Edition)202149(2):151-160.
[6] DESAI R M, ACHARYA S, M-e-H JAMADAR .Synthesis of magnetorheological fluid and its application in a twin-tube valve mode automotive damper[J].Proceedings of the Institution of Mechanical Engineers,Part L:Journal of Materials-Design and Applications,2020234(7):1001-1016.
[7] 潘公宇,杨海,徐腾跃,等 .磁流变液阻尼器试验与建模研究[J].振动与冲击201534(6):36-40.
  PAN Gongyu, YANG Hai, XU Tengyue,et al .Tests and modeling for magneto-rheological (MR) dampers[J].Journal of Vibration and Shock201534(6):36-40.
[8] 陈昭晖,倪一清 .磁流变阻尼器非参数化模型泛化能力的提高[J].振动与冲击201736(6):146-151,167.
  CHEN Zhaohui, NI Yiqing .Enhanced generalization of nonparametric model for magnetorheological dampers[J].Journal of Vibration and Shock201736(6):146-151,167.
[9] 张宇涵,陈双,任洪卓 .基于神经网络的磁流变减振器模型参数辨识[J].汽车技术2022(9):50-55.
  ZHANG Yuhan, CHEN Shuang, REN Hongzhuo .Model parameter identification of magnetorheological shock absorber based on neural network[J].Automobile Technology2022(9):50-55.
[10] SHARMA S K, SHARMA R C, UPADHYAY R K,et al .Enhanced ship engine vibration reduction using magnetorheological dampers and adaptive neuro-fuzzy control system[J].Ships and Offshore Structures202520(1/3):143-189.
[11] BOADA M J L, BOADA B L, DIAZ V .A novel inverse dynamic model for a magnetorheological damper based on network inversion[J].Journal of Vibration and Control201824(15):3434-3453.
[12] ZAPATEIRO M, LUO N .Neural network modeling of a magnetorheological damper[J].Frontiers in Artificial Intelligence and Applications2007163:351-358.
[13] JU X, CHU M, SUN H,et al .Model identification for micro linear MR damper based on neural network[C]∥Proceedings of the 2016 International Conference on Smart Materials and Intelligent Systems.Hangzhou:[s.n.],2016:123-128.
[14] 邓召学,郑玲,郭敏敏,等 .基于遗传BP神经网络的磁流变悬置模型辨识[J].电子科技大学学报201443(6):955-960.
  DENG Zhaoxue, ZHENG Ling, GUO Minmin,et al .Model identification of magneto-rheological mount based on genetic algorithms and BP neural network[J].Journal of University of Electronic Science and Technology of China201443(6):955-960.
[15] CHEN X, WEI W, XU L,et al .Parameter identification of Bouc-Wen model for MR damper by parameter sensitivity analysis and modified PSO algorithm[J].International Journal of Applied Electromagnetics & Mechanics202269(4):1-19.
[16] SIRETEANU 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:Mathematics,Physics,Technical Sciences,Information Science,200910(1):43-54.
[17] 史文库,张曙光,张友坤,等 .基于改进海鸥算法的磁流变减振器模型辨识[J].吉林大学学报(工学版)202252(4):764-772.
  SHI Wenku, ZHANG Shuguang, ZHANG Youkun,et al .Parameter identification of magnetorheological damper model with modified seagull optimization algorithm[J].Journal of Jilin University (Engineering and Technology Edition)202252(4):764-772.
[18] 祝世兴,杨丽昆,魏戬,等 .基于改进Bingham模型的磁流变阻尼器力学建模及试验研究[J].重庆理工大学学报(自然科学)202135(4):254-264.
  ZHU Shixing, YANG Likun, WEI Jian,et al .Modeling and experimental study of magnetorheological damper based on improved Bingham model[J].Journal of Chongqing University of Technology (Natural Science)202135(4):254-264.
[19] 周铁明,陈恩伟,陆益民,等 .磁流变阻尼器的改进多项式模型及验证[J].振动与冲击201433(7):221-226.
  ZHOU Tieming, CHEN Enwei, LU Yimin,et al .Modified polynomial model of magnetorheological damper and model verification[J].Journal of Vibration and Shock201433(7):221-226.
[20] 王强,陈照波, Mehdi Ahmadian,等 .新型双活塞磁流变阻尼器的理论分析与实验研究[J].振动与冲击201534(21):144-149,169.
  WANG Qiang, CHEN Zhao-bo, AHMADIAN Mehdi,et al .Analysis and tests for a novel double-piston MR damper[J].Journal of Vibration and Shock201534(21):144-149,169.
[21] MEI Z, GAO Y, GUO Z .Dynamic testing and modeling of a magnetorheological damper[J].Journal of Vibration,Measurement and Diagnosis,201737(3):553-559.
[22] MENG X, ZHANG Z, SHENG K,et al .Modeling and experimental evaluation of vibration reduction of hydraulic-driven joint with a MRF damper[J].Journal of Intelligent Material Systems and Structures202334(3):251-260.
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