@inproceedings{04095ca1b7224cd3ba89cde459d4b6c2,
title = "Investigation of semi-active hydro-pneumatic suspension control using neural network based sliding mode method",
abstract = "This paper presents a controller development for improving vehicle ride comfort ability utilizing neural based sliding mode control method. A non-linear model of a quarter car equipped with hydro-pneumatic 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.",
keywords = "Hydro-Pneumatic, Neural Network, Semi-Active Suspension, Sliding Mode Control",
author = "Sizhong Chen and Yuzhuang Zhao",
year = "2011",
doi = "10.1109/ICACC.2011.6016409",
language = "English",
isbn = "9781424488087",
series = "2011 3rd International Conference on Advanced Computer Control, ICACC 2011",
pages = "256--260",
booktitle = "2011 3rd International Conference on Advanced Computer Control, ICACC 2011",
note = "3rd IEEE International Conference on Advanced Computer Control, ICACC 2011 ; Conference date: 18-01-2011 Through 20-01-2011",
}