DocumentCode :
2472491
Title :
A sliding mode semi-active control for suspension based on neural network
Author :
Jie, Cheng ; Cangsu, Xu ; Shaomin, Lou
Author_Institution :
Inst. of Power-driven Machinery & Vehicle Eng., Zhejiang Univ., Hangzhou
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
6143
Lastpage :
6148
Abstract :
On basis of introducing the essential characteristics of electro-rheological fluid, this paper presents semi-active control for suspension based on ER damper and establishes a quarter car dynamic model. Its state space equation is derived. According to sliding mode control theory, the parameters of the switching surface are determined by the method of pole assignment. A proportion switching method and an equal near rate is used to amend the dynamic quality of sliding mode motion in the proposed controller. Meanwhile, the RBF neural network arithmetic is introduced to optimize the sliding mode control result. Then use Matlab/Simulink software to set up the model including passive and semi-active control and simulate. The results show that the semi-active control is more effective than the passive control, the body acceleration has declined by 20% and ride quality has improved observably.
Keywords :
electrorheology; neurocontrollers; radial basis function networks; suspensions (mechanical components); variable structure systems; vibration control; ER damper; Matlab/Simulink software; RBF neural network arithmetic; electrorheological fluid; pole assignment; proportion switching method; quarter car dynamic model; sliding mode semiactive control; state space equation; suspension; Damping; Equations; Erbium; Fluid dynamics; Mathematical model; Motion control; Neural networks; Shock absorbers; Sliding mode control; State-space methods; RBF neural network; electro-rheological; semi-active control; sliding mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4592787
Filename :
4592787
Link To Document :
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