Application of Nonlinear Displacement-Dependent Dampers in Suspension Systems

Conference paper
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)


Dampers are frequently used for vibration reduction and isolation. While passive dampers are still being used, semi-active dampers such as MR and ER dampers have found their ways to expensive commercial applications. They use magnetorheological (MR) or electrorheological (ER) fluids as the damper fluid, subjected to a controllable field to obtain variable damping. These dampers are more efficient; however, due to the high cost of MR and ER fluids, they are too expensive to be used in the suspension systems for passenger cars Nonlinear Displacement-Dependent (NDD) damper has been recently developed for vibration reduction and control in mechanical systems. The damping coefficient of the NDD damper increases as the velocity reduces which compensates for the reduced velocity. This low-cost damper results in a smoother and more consistent damping force and energy dissipation and resolves the major drawback of the linear dampers, which is their poor performance, and the semi-active ones, which is their high cost. It also causes smaller force transmission in vibration isolation applications. In this paper the performance of the NDD damper in suspension systems has been investigated. The suspension system equipped with the NDD damper is modeled and its performance is compared to that of the conventional models.


Suspension systems Nonlinear displacement-dependent damper Vibration reduction Ride comfort Handling 


  1. 1.
    Ilbeigi, S., Chelidze, D.: Model order reduction of nonlinear euler-bernoulli beam. In: Nonlinear Dynamics, vol. 1, pp. 377–385. Springer, New York (2016)Google Scholar
  2. 2.
    Ilbeigi, S., Chelidze, D.: Reduced order models for systems with disparate spatial and temporal scales. In: Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, vol. 8, pp. 447–455. Springer, New York (2016)Google Scholar
  3. 3.
    Karimi, M., Jahanpour, J., Ilbeigi, S.: A novel scheme for exible nurbs-based c2 ph spline curve contour following task using neural network. Int. J. Precis. Eng. Manuf. 15 (12), 2659–2672 (2014)CrossRefGoogle Scholar
  4. 4.
    Asl, M.E., Niezrecki, C., Sherwood, J., Avitabile, P.: Predicting the vibration response in subcomponent testing of wind turbine blades. In: Special Topics in Structural Dynamics, vol. 6, pp. 115–123. Springer, New York (2015)Google Scholar
  5. 5.
    Adhikari, S.: Damping models for structural vibration. Ph.D Thesis, University of Cambridge (2001)Google Scholar
  6. 6.
    Asl, M.E., Niezrecki, C., Sherwood, J., Avitabile, P.: Design of scaled-down composite i-beams for dynamic characterization in subcomponent testing of a wind turbine blade. In: Shock & Vibration, Aircraft/Aerospace, Energy Harvesting, Acoustics & Optics, vol. 9, pp. 197–209. Springer, New York (2016)Google Scholar
  7. 7.
    Behmanesh, I., Yousefianmoghadam, S., Nozari, A., Moaveni, B., Stavridis, A.: Effects of prediction error bias on model calibration and response prediction of a 10-story building. In: Model Validation and Uncertainty Quantification, vol. 3, pp. 279–291. Springer, New York (2016)Google Scholar
  8. 8.
    Hassan, S.A.: Fundamental studies of passive, active and semi-active automotive suspension systems. Ph.D Thesis, University of Leeds (1986)Google Scholar
  9. 9.
    Go, C.-G., Shi, C.-H., Shih, M.-H., Sung, W.-P.: A linearization model for the displacement dependent semi-active hydraulic damper. J. Vib. Control (2010)MATHGoogle Scholar
  10. 10.
    Ilbeigi, S., Jahanpour, J., Farshidianfar, A.: A novel scheme for nonlinear displacement-dependent dampers. Nonlinear Dyn. 70 (1), 421–434 (2012)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Jahanpour, J., Ilbeigi, S., Porghoveh, M.: Resonant analysis of systems equipped with nonlinear displacement-dependent (ndd) dampers. In: Nonlinear Dynamics, vol. 1, pp. 67–82. Springer, New York (2016)Google Scholar
  12. 12.
    Jahanpour, J., Porghoveh, M., Ilbeigi, S.: Forced vibration analysis of a system equipped with a nonlinear displacement-dependent (ndd) damper. Sci. Iran. Trans. B Mech. Eng. 23 (2), 633 (2016)Google Scholar
  13. 13.
    Holterman, J., de Vries, T.J.: a comparison of passive and active damping methods based on piezoelectric elements (2001)Google Scholar
  14. 14.
    Liu, Y., Waters, T., Brennan, M.: A comparison of semi-active damping control strategies for vibration isolation of harmonic disturbances. J. Sound Vib. 280 (1), 21–39 (2005)MathSciNetCrossRefMATHGoogle Scholar
  15. 15.
    Pare, C.A.: Experimental evaluation of semiactive magneto-rheological suspensions for passenger vehicles. Ph.D Thesis, Virginia Polytechnic Institute and State University (1998)Google Scholar
  16. 16.
    Ghane, M., Tarokh, M.J.: Multi-objective design of fuzzy logic controller in supply chain. J. Ind. Eng. Int. 8 (1), 10 (2012)CrossRefGoogle Scholar
  17. 17.
    Asl, M.E., Abbasi, S.H., Shabaninia, F.: Application of adaptive fuzzy control in the variable speed wind turbines. In: International Conference on Artificial Intelligence and Computational Intelligence, pp. 349–356. Springer (2012)Google Scholar
  18. 18.
    Jansen, L.M., Dyke, S.J.: Semiactive control strategies for mr dampers: comparative study. J. Eng. Mech. 126 (8), 795–803 (2000)CrossRefGoogle Scholar
  19. 19.
    Preumont, A.: Vibration Control of Active Structures: An Introduction, vol. 179. Springer Science & Business Media, New York (2011)MATHGoogle Scholar
  20. 20.
    Alanoly, J., Sankar, S.: A new concept in semi-active vibration isolation. J. Mech. Trans. Autom. Des. 109 (2), 242–247 (1987)CrossRefGoogle Scholar
  21. 21.
    Zhuge, J., Formenti, D., Richardson, M.: A brief history of modern digital shaker controllers. Sound Vib. 44 (9), 12 (2010)Google Scholar
  22. 22.
    Hassaan, G.A.: Car dynamics using quarter model and passive suspension, part i: Effect of suspension damping and car speed. Int. J. Comput. Techniques 1 (2), 1–9 (2014)Google Scholar

Copyright information

© The Society for Experimental Mechanics, Inc. 2017

Authors and Affiliations

  1. 1.Department of Mechanical, Industrial, and Systems EngineeringUniversity of Rhode IslandKingstonUSA

Personalised recommendations