Volume 4 Number 3
July 2007
Article Contents
Jiang-Tao Cao, Hong-Hai Liu, Ping Li, David J. Brown and Georgi Dimirovski. A Study of Electric Vehicle Suspension Control System Based on an Improved Half-vehicle Model. International Journal of Automation and Computing, vol. 4, no. 3, pp. 236-242, 2007. doi: 10.1007/s11633-007-0236-8
Cite as: Jiang-Tao Cao, Hong-Hai Liu, Ping Li, David J. Brown and Georgi Dimirovski. A Study of Electric Vehicle Suspension Control System Based on an Improved Half-vehicle Model. International Journal of Automation and Computing, vol. 4, no. 3, pp. 236-242, 2007. doi: 10.1007/s11633-007-0236-8

A Study of Electric Vehicle Suspension Control System Based on an Improved Half-vehicle Model

  • Received: 2007-03-05
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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A Study of Electric Vehicle Suspension Control System Based on an Improved Half-vehicle Model

Abstract: An improved half-vehicle model has been proposed for active suspension control systems,in contrast to existing models, it allows to explore the nature of the effect of vehicle speed changes by introducing a state vector of vehicle pitch angle.Three control strategies of linear quadratic control (LQ),improved LQ (ILQ) and wheelbase preview LQ (WLQ) have been implemented into the proposed model.ILQ has integrated an additional control parameter into LQ by concerning the correlation between acceleration values and their corresponding pitch angles.Simulation results have showed the effectiveness of the proposed model in terms of LQ,ILQ and WLQ control strategies.

Jiang-Tao Cao, Hong-Hai Liu, Ping Li, David J. Brown and Georgi Dimirovski. A Study of Electric Vehicle Suspension Control System Based on an Improved Half-vehicle Model. International Journal of Automation and Computing, vol. 4, no. 3, pp. 236-242, 2007. doi: 10.1007/s11633-007-0236-8
Citation: Jiang-Tao Cao, Hong-Hai Liu, Ping Li, David J. Brown and Georgi Dimirovski. A Study of Electric Vehicle Suspension Control System Based on an Improved Half-vehicle Model. International Journal of Automation and Computing, vol. 4, no. 3, pp. 236-242, 2007. doi: 10.1007/s11633-007-0236-8
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