The fuzzy control for the semi-active suspension vehicle

Ji Fu Guan; Yun Peng Wu; Hua Huang; Liang Gu

The fuzzy control for the semi-active suspension vehicle

Ji Fu Guan^*, Yun Peng Wu, Hua Huang, Liang Gu

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

The half vehicle states equations of a tracked vehicle semi-active suspension control were established. A method to generate the fuzzy control rules for semi-active suspension system was proposed. The half vehicle semi-active fuzzy control system was designed. The simulation results showed that the presented fuzzy control rules had good adaptive ability for both stochastic and definitive road inputs.

Original language	English
Pages (from-to)	1030-1033
Number of pages	4
Journal	Xitong Fangzhen Xuebao / Journal of System Simulation
Volume	19
Issue number	5
Publication status	Published - 5 Mar 2007

Keywords

Adaptive control
Fuzzy
LQG control
Semi-active suspension

Cite this

Guan, J. F., Wu, Y. P., Huang, H., & Gu, L. (2007). The fuzzy control for the semi-active suspension vehicle. Xitong Fangzhen Xuebao / Journal of System Simulation, 19(5), 1030-1033.

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abstract = "The half vehicle states equations of a tracked vehicle semi-active suspension control were established. A method to generate the fuzzy control rules for semi-active suspension system was proposed. The half vehicle semi-active fuzzy control system was designed. The simulation results showed that the presented fuzzy control rules had good adaptive ability for both stochastic and definitive road inputs.",

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AU - Guan, Ji Fu

AU - Wu, Yun Peng

AU - Huang, Hua

AU - Gu, Liang

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N2 - The half vehicle states equations of a tracked vehicle semi-active suspension control were established. A method to generate the fuzzy control rules for semi-active suspension system was proposed. The half vehicle semi-active fuzzy control system was designed. The simulation results showed that the presented fuzzy control rules had good adaptive ability for both stochastic and definitive road inputs.

AB - The half vehicle states equations of a tracked vehicle semi-active suspension control were established. A method to generate the fuzzy control rules for semi-active suspension system was proposed. The half vehicle semi-active fuzzy control system was designed. The simulation results showed that the presented fuzzy control rules had good adaptive ability for both stochastic and definitive road inputs.

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KW - Fuzzy

KW - LQG control

KW - Semi-active suspension

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The fuzzy control for the semi-active suspension vehicle

Abstract

Keywords

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