Chaos Control of Vehicle Nonlinear Suspension System with Multi-Frequency Excitations by Nonlinear Feedback

Article Preview

Abstract:

Vehicle suspension system with hysteretic nonlinearity has obvious nonlinear characteristics, which directly cause the system to the possibility of existence of bifurcation and chaos. Two degrees of freedom for the 1/4 body suspension model is established and the behavior of the system under road multi-frequency excitations is analyzed. In the paper, it reveals the existence of chaos in the system with the Poincaré map, phase diagram, time history graph, and its chaotic behavior is controlled by nonlinear feedback. Numerical simulation shows the effectiveness and feasibility of the control method with improved ride comfort. The results may supply theoretical bases for the analysis and optimal design of the vehicle suspension system.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1156-1161

Citation:

Online since:

May 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] SuhM S, YeoM S. Development of semiactive suspension systems using ER fluids for the wheeled vehicle: Journal of Intelligent Material Systems and Structures, Vol. 10(2000), pp.743-747.

DOI: 10.1106/jpov-l7nx-1nx5-9w19

Google Scholar

[2] Ni Y Q, Chen Y, Ko J M, etal. Neurocontrol of cable vibration using semiactive magnetorheological dampers: Engineering Structures, Vol. 24(2002), pp.295-307.

DOI: 10.1016/s0141-0296(01)00096-7

Google Scholar

[3] Stammers C W, Sireteanu T. Vibration control of machines by use of semiactive dry friction damping: Journal of Sound and Vibration, Vol. 209(1998), pp.671-684.

DOI: 10.1006/jsvi.1997.1289

Google Scholar

[4] Ott E, Grebogi C, York J A. Controlling chaos: Phys Rev Lett, Vol. 64(1990), pp.1196-1199.

DOI: 10.1103/physrevlett.64.1196

Google Scholar

[5] Sinhna S, Ramaswamy R, Subba Rao J. Adaptive control in nonlinear dynamic: Physica D, (1990), pp.118-128.

Google Scholar

[6] Lima R, Pettini M. Suppression of Chaos by Resonant parametric perturbations: Phys Rev A, (1990), pp.726-728.

DOI: 10.1103/physreva.41.726

Google Scholar

[7] Braiman Y, Goldhirsch I. Taming chalic dynamic with weak perturbation: Phys Rev Lett, Vol. 66(1991), pp.2545-2548.

DOI: 10.1103/physrevlett.66.2545

Google Scholar

[8] Pyragas K. Continuous control of chaos by self-controlling feedback: Phys Lett A, (1992), pp.421-428.

Google Scholar

[9] Chen G, Dong X. From chaos to order: Perspectives and methodologies in cont rolling chaotic nonlinear dynamical systems: Int J Bifurc and Chaos, Vol. 3(1993), pp.1363-1409.

DOI: 10.1142/s0218127493001112

Google Scholar

[10] Yang L, Liu Z. An improvement and proof of OGY method: App, Math and Mech, Vol. 19(1998), pp.1-8.

Google Scholar

[11] Brandt M E, Chen G. Feedback control of a quadratic map model of cardiac chaos: Int J Bifuc and Chaos, Vol. 6(1996), pp.715-723.

DOI: 10.1142/s0218127496000370

Google Scholar

[12] Li Shaohua Yang Shaopu. Main Resonance and Bifurcation in a Nonlinear Vehicle Suspension System with Multi-frequency Excitations: Journal of Shijiazhuang Railway Institute, Vol. 15( 2002), pp.23-28 (In Chinese).

Google Scholar

[13] Min Fuhong, Xu Zhenyuan, Xu Wenbo. Controlling chaos via x|x|: Acta Physica Sinica, Vol. 52( 2003), pp.1360-1364 (In Chinese).

Google Scholar