Optimum-preview control model of rail vehicle active suspension

Zhu Hao; Liu Shao-jun; Qiu Xian-yan

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Zhu Hao, Liu Shao-jun, Qiu Xian-yan. Optimum-preview control model of rail vehicle active suspension[J]. Journal of Traffic and Transportation Engineering, 2005, 5(3): 8-13.

Citation:

Zhu Hao, Liu Shao-jun, Qiu Xian-yan. Optimum-preview control model of rail vehicle active suspension[J]. Journal of Traffic and Transportation Engineering, 2005, 5(3): 8-13.

Zhu Hao, Liu Shao-jun, Qiu Xian-yan. Optimum-preview control model of rail vehicle active suspension[J]. Journal of Traffic and Transportation Engineering, 2005, 5(3): 8-13.

Citation:

Zhu Hao, Liu Shao-jun, Qiu Xian-yan. Optimum-preview control model of rail vehicle active suspension[J]. Journal of Traffic and Transportation Engineering, 2005, 5(3): 8-13.

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Optimum-preview control model of rail vehicle active suspension

1.
School of Mechanics and Electricity Engineering, Central South University, Changsha 410083, China
2.
Department of Mechanics, Zhuzhou Institute of Technology, Zhuzhou 412000, China

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Author Bio:
Zhu Hao(1972-), male, doctoral student, 86-731-8832710, zhu1201_1@163.com
Received Date: 2005-05-15
Publish Date: 2005-09-25

Abstract

Abstract

Based on the design model of multi-degrees of freedom, a new modelling method of rail vehicle system with active suspension was put forward, a kind of optimum-preview controller was designed to restrain the vertical vibration, nodding and rolling of carbody, the system respond with controller was analysed.Simulation results indicate that the vertical vibration, nodding and rolling levels of carbody are reduced by about 27%, 30%, 30% respectively using optimum control method, and the levels of carbody are reduced by about 54%, 50%, 45% respectively using preview control method, preview control strategy can make vehicle system respond ahead according to target value.It is feasible that the optimum-preview controller is used in designning the active suspension of rail vehicle system based on complex multi-degrees of freedom model.
- vehicle engineering,
- multi-degrees of freedom,
- active suspension,
- optimum-preview control

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References(8)

References

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