DocumentCode :
352668
Title :
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
Link To Document :
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