Investigation of semi-active hydro-pneumatic suspension control using neural network based sliding mode method

摘要：

This paper presents a controller development for improving vehicle ride comfort ability utilizing neural based sliding mode control method. A nonlinear model of a quarter car equipped with hydropneumatic suspension and controllable damper was developed. An advanced sky-hook model was adopted as the reference model. A non-linear sliding mode controller was developed to drive the states of the controlled system to follow those of the reference model through the damping force control. Then a neural network was integrated to decrease the chatting problem of sliding mode control. The performance of the proposed controller was verified in Matlab/Simulink. The simulation results show that neural based sliding mode control can improve vehicle ride comfort ability significantly and enjoys a strong robustness against vehicle parameter change.

关键词： Semi-ActiveSuspension Hydro-Pneumatic Sliding Mode Control Neural Network

作者: Sizhong Chen Yuzhuang Zhao

作者单位: School of Mechanical Engineering Beijing Institute of Technology Beijing, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

会议地点: 哈尔滨

会议语种:英文

页码: 256-260

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）