The Simulation Analysis of Semi-Active Suspension System in Vehicle Based on Sliding Mode Control with Varying Structure

Jing Jun Zhang; Wei Sha Han; Li Ya Cao; Rui Zhen Gao

doi:10.4028/www.scientific.net/AMR.216.96

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 216The Simulation Analysis of Semi-Active Suspension...

The Simulation Analysis of Semi-Active Suspension System in Vehicle Based on Sliding Mode Control with Varying Structure

Abstract:

A sliding mode controller for semi-active suspension system of a quarter car is designed with sliding model varying structure control method. This controller chooses Skyhook as a reference model, and to force the tracking error dynamics between the reference model and the plant in an asymptotically stable sliding mode. An equal near rate is used to improve the dynamic quality of sliding mode motion. Simulation result shows that the stability of performance of the sliding-mode controller can effectively improve the driving smoothness and safety.

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Periodical:

Advanced Materials Research (Volume 216)

Pages:

96-100

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.216.96

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Online since:

March 2011

Authors:

Jing Jun Zhang, Wei Sha Han, Li Ya Cao, Rui Zhen Gao

Keywords:

MATLAB, Semi-Active Suspension System, Sliding Mode Control (SMC)

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References

[1] Song Xubin, Ahmadian Mehdi, Southward Steve. An adaptive semi-active control algorithm for vehicle suspension systems [C]/Proceedings of ASME IMECE 2003: International Mechanical Engineers Conference(2003).

DOI: 10.1115/imece2003-43566

Google Scholar

[2] HAN Zeng-jin. Adaptive control [M]. Beijing: Tsinghua university press(1995).

Google Scholar

[3] LIU Jin-kun. Matlab Simulation for Sliding Mode Control [M]. Beijing: Tsinghua university press(2005).

Google Scholar

[4] ZHAO Cheng, HU Zeng-rong, CHEN Da-yue. Sliding mode variable structure control for semi-active suspension [J]. China Journal, 109-114 (2007), 20(3).

Google Scholar

[5] LI Pei-lin. The Research of Vehicle Comfort Evaluation Method [J]. Journal of Agricultural Mechanization Research, 103-104(2004), (6).

Google Scholar

[6] Nagai M．Recent researches on active suspension for ground vehicles[J]. Jap. Soc. Mech. Engrs. Int. J. Set. C, 161-170(1993), 36(2).

Google Scholar

[7] ZHANG Yong-lin, ZHONG Yi-fang. Time Domain Model of Road Undulation Excitation to Vehicles [J]. Transactions of the Chinese Society of Agricultural Machinery, (2004), 35(2).

Google Scholar