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International Journal of Automotive Technology

, Volume 19, Issue 4, pp 677–685 | Cite as

Comparison of Dynamic Models of Mr Damper for Hardware in the Loop Simulation of Large-Sized Buses

  • Seokcheon Jeon
  • Jinseong Kim
  • Sun Woo Jin
  • Kyuyeol Koak
  • Eun Jun Rhee
  • Chibum Lee
  • Yeong-il Park
Article
  • 80 Downloads

Abstract

The present study has focused on the comparison of MR damper dynamic models for the purpose of hardware in the loop simulation. A vehicle dynamic model for large-sized bus and a control logic for MR damper was built. Two typical MR damper models, viz. Bouc-Wen and hyperbolic tangent model have been considered in this study and the advantages and disadvantages of each model on the aspect of HILS system is discussed. We discussed the limitations of each model based on the analysis of the vehicle dynamic simulation. The results showed that the existing models are not suitable for HILS system. We proposed the modified hyperbolic tangent model by adopting low-pass filters. The results from the simulation showed the advantages of the modified model which were validated through HILS system.

Key Words

Magneto-rheological damper Semi-active suspension Dynamic modeling Large size bus Vibration control 

Nomenclature

F

damping force

x

damper stroke displacement

αb

hysteresis coefficient of Bouc-wen model

z

hysteresis displacement

βb, γb, n, A

parameter of hysteresis shape of Bouc-wen model

a1, a2, p

parameter of damping coefficient function

k

stiffness

m

mass

F0

measurement bias of damping force

αh

hysteresis coefficient of Hyperbolic tangent model

βh, γh

parameter of hysteresis shape of Hyperbolic tangent model

c

damping coefficient

T

time step size

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References

  1. Dahl, P. R. (1976). Solid friction damping of mechanical vibrations. AIAA 14, 12, 1675–1682.CrossRefGoogle Scholar
  2. de Wit, C. C., Olsson, H., Astrom, K. J. and Lischinsky, P. (1995). A new model for control of systems with friction. IEEE Trans. Automatic Control 40, 3, 419–425MathSciNetCrossRefzbMATHGoogle Scholar
  3. Hu, G., Liu, Q., Ding, R. and Li, G. (2017). Vibration control of semi-active suspension system with magnetorheological damper based on hyperbolic tangent model. Advances in Mechanical Engineering 9, 5, 1–15CrossRefGoogle Scholar
  4. Jeon, H. J. and Jung, S. (2010). Vehicle suspension control using an MR damper of a Bouc-Wen model obtained from experimental studies. J. Institute of Control, Robotics and Systems 16, 2, 151–157CrossRefGoogle Scholar
  5. Kang, T. H. and Baek, W. K. (2002). Ride analysis of a semi-active suspension seat with sky-hook control. The Korea Society for Power System Engineering 6, 2, 33–39Google Scholar
  6. Kasprzyk, J., Wyrwal, J. and Krauz, P. (2014). Automotive MR damper modelling for semi-active vibration control. Proc. IEEE/ASME Int. Conf. Advanced Intelligent Mechatronics (AIM), Besacon, France.Google Scholar
  7. Kwok, N. M., Ha, Q. P. and Nguyen, T. H. (2006). A novel hysteretic model for magnetorheological fluid dampers and parameter identification using particle swarm optimization. Sensors and Actuators A: Physical 132, 2, 441–451CrossRefGoogle Scholar
  8. Kim, H. Y., Lee, D. C., Rhee, E. J., Koak, K. Y. and Kang, G. G. (2017). A study on an MR damper HILS system for a bus. J. Institute of Control, Robotics and Systems 23, 2, 109–116CrossRefGoogle Scholar
  9. Lee, J. W., Lee, J. S. and Beak, W. K. (2006). Performance improvement of A suspension-seat controller using HILS. Proc. KSME Autumn Annual Meeting, 739–744Google Scholar
  10. Na, U. J. (2013). Control of damping coefficients for the shear mode MR dampers using inverse model. Trans. Korean Society for Noise and Vibration Engineering 23, 5, 445–455CrossRefGoogle Scholar
  11. Reichert, B. A. (1997). Application of magnetorheological dampers for vehicle seat. Proc. IEEE/ASME Int. Conf. Advanced Intelligent Mechatronics (AIM).Google Scholar
  12. Sahin, I., Engin, T. and Cesmeci, S. (2010). Comparison of some existing parametric models for magnetorheological fluid dampers. Smart Materials and Structures 19, 3, 1–11CrossRefGoogle Scholar
  13. Wang, D. H. and Liao, W. H. (2011). Magnetorheological fluid dampers: A review of parametric modeling. Smart Materials and Structure 20, 2, 1–34CrossRefGoogle Scholar
  14. Wen, Y. K. (1976). Method of random vibration of hysteretic systems. J. Engineering Mechanics Division 102, 2, 249–263Google Scholar
  15. Wereley, N. M., Pang, L. and Kamath, G. M. (1988). Idealized hysteresis modeling of electrorheological and magnetorheological dampers. J. Intelligent Material Systems and Structures 9, 8, 642–649CrossRefGoogle Scholar
  16. Yang, G. (2001). Large-scale Magnetorheological Fluid Damper for Vibration Mitigation: Modeling, Testing and Control. Ph. D. Dissertation. University of Notre Dame. Notre Dame, Indiana, USA.Google Scholar
  17. Yoon, H. S., Moon, I. D., Kim, J. W., Oh, C. Y. and Lee, H. W. (2012). Semi-active control of a suspension system with a MR damper of a large-sized bus. J. Korean Society of Manufacturing Technology Engineers 21, 4, 683–690CrossRefGoogle Scholar
  18. Youn, I., Khan, M. A., Uddin, N., Youn, E. and Tomizuka, M. (2017). Road disturbance estimation for the optimal preview control of an active suspension systems based on tracked vehicle model. Int. J. Automotive Technology 18, 2, 307–316CrossRefGoogle Scholar

Copyright information

© The Korean Society of Automotive Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Seokcheon Jeon
    • 1
  • Jinseong Kim
    • 1
  • Sun Woo Jin
    • 1
  • Kyuyeol Koak
    • 2
  • Eun Jun Rhee
    • 2
  • Chibum Lee
    • 1
  • Yeong-il Park
    • 1
  1. 1.Department of Mechanical System Design EngineeringSeoul National University of Science and TechnologySeoulKorea
  2. 2.Mechanical Engineering TeamHyundai Rotem CompanyGyeonggiKorea

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