Research on the intelligence control for automotive semi-active suspensions using the multibody model

Author

Qidong, Wang ; Han, Zhao ; Wuwei, Chen ; Qirui, Wang ; Dibin, Fan

Author_Institution

Hefei Univ. of Technol., China

Volume

1

fYear

2000

fDate

2000

Firstpage

160

Abstract

Based on the analysis of the shortcomings of traditional automotive dynamic models, a multi-rigid body model is built, the adaptive control strategy based on neural networks is put forward and the neural identifier and controller are designed in the paper. In order to improve the control effects, a compensating network is added to the control system. Simulation and experiment results show that adaptively controlled semi-active suspensions with nonlinear neural networks can achieve obvious vibration reducing effects

Keywords

adaptive control; automobiles; control system synthesis; identification; intelligent control; neurocontrollers; nonlinear control systems; vibration control; adaptive control strategy; automotive semi-active suspensions; compensating network; multi-rigid body model; multibody model; neural identifier; nonlinear neural networks; vibration reducing effects; Adaptive control; Automotive engineering; Control systems; Intelligent control; Intelligent vehicles; Neural networks; Paper technology; Suspensions; Vehicle dynamics; Vibration control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on

Conference_Location

Hefei

Print_ISBN

0-7803-5995-X

Type

conf

DOI

10.1109/WCICA.2000.859939

Filename

859939