• 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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