Influence of Spring Ratio on Variable Stiffness and Damping Suspension System Performance

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The variable stiffness and damping (VSVD) suspension system offers an interesting option to improve driver comfort in an energy efficient way. The aim of this study is to analyze the influence of the spring ratio on the VSVD. The realization of the VSVD is obtained by the application of variable damping with magnetorheological (MR) damper. In this study, the nonlinear damping force characteristic of the MR damper is modeled with the Bouc-Wen model and the road disturbance is modeled by a stationary random process with road displacement power spectral density. It is shown from simulation that VSVD has a potential benefit in improving performance of vehicle suspension.

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Periodical:

Edited by:

Prof. Sutardi, Bambang Pramujati, Prof. Rickey Dubay, Mamoun Abu-Ayyad, Prof. Lai, Jiing-Yih

Pages:

31-36

DOI:

10.4028/www.scientific.net/AMM.836.31

Citation:

U. Wasiwitono et al., "Influence of Spring Ratio on Variable Stiffness and Damping Suspension System Performance", Applied Mechanics and Materials, Vol. 836, pp. 31-36, 2016

Online since:

June 2016

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$35.00

* - Corresponding Author

[1] W. Sun, H. Gao, and O. Kaynak, Adaptive backstepping control for active suspension systems with hard constraints, IEEE/ASME Transaction on Mechatronics, Vol 18, No. 3, pp.1072-1079, (2013).

DOI: 10.1109/tmech.2012.2204765

[2] K. El Majdoub, D. Ghani, F. Giri, F. Z. Chaoui, Adaptive semi-active suspension of quartervehicle with magnetorheological damper, ASME journal of Dynamic Systems, Measurement, and Control, Vol. 137, No. 2, (2014).

DOI: 10.1115/1.4028314

[3] P. Li, J. Lam, and K. C. Cheung, Multi-objective control for active vehicle suspension with wheel base preview, Journal of Sound and Vibration, Vol 333, No. 21, pp.5269-5282, (2014).

DOI: 10.1016/j.jsv.2014.06.017

[4] J. H. Crews, M. G. Mattson and G. D. Buckner, Multi-objective control optimization for semiactive vehicle suspensions, Journal of Sound and Vibration, Vol. 330, No. 23, pp.5502-5516, (2011).

DOI: 10.1016/j.jsv.2011.05.036

[5] Y. Hu, M. Z. Q. Chen, and Z. Hou, Multiplexed model predictive control for active suspensions, International Journal of Control, Vol. 88, No. 2, pp.347-363, (2015).

DOI: 10.1080/00207179.2014.953589

[6] C. Spelta, F. Previdi, S. M. Savaresi, P. Bolzern, M. Cutini, C. Bisaglia, and S. A. Bertinotti, Performance analysis of semi-active suspension with control of variable damping and stiffness, Vehicle System Dynamics, Vol. 49, No. 1-2, pp.237-256, (2011).

DOI: 10.1080/00423110903410526

[7] Y. Xu, and M. Ahmadian, Improving the capacity of tire normal force via variable stiffness and damping suspension system, Journal of Terramechanics, Vol. 50, pp.121-132, (2013).

DOI: 10.1016/j.jterra.2013.03.003

[8] Y. Xu, M. Ahmadian, and R. Sun, Improving vehicle lateral stability based on variable stiffness and damping suspension system via MR damper, IEEE Transaction on Vehicular Technology, Vol. 63, No. 3, pp.1071-1078, (2014).

DOI: 10.1109/tvt.2013.2282824

[9] Y. Liu, H. Matsuhisa, and H. Utsuno, Semi-active vibration isolation system with variable stiffness and damping control, Journal of Sound and Vibration, Vol. 313, pp.16-28, (2008).

DOI: 10.1016/j.jsv.2007.11.045

[10] G. Koch, O. Fritsch, and B. Lohmann, Potential of low bandwidth active suspension with continuously variable damper, Control Engineering Practice, Vol. 18, pp.1251-1262, (2010).

DOI: 10.1016/j.conengprac.2010.03.007

[11] D. Hrovat, Survey of advanced suspension developments and related optimal control application, Automatica, Vol 33, No. 10, pp.1781-1817, (1997).

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