DocumentCode
3397446
Title
The robust self-regulating control of the vehicle steering system
Author
Li Guo ; Peng Sha ; Tang Shihui
Author_Institution
Autom. Sch., Univ. of Sci. & Technol. in Beijing, Beijing, China
fYear
2011
fDate
19-22 Aug. 2011
Firstpage
2046
Lastpage
2049
Abstract
For the uncertainties of the vehicle steering system, a method of equal control is used. The equal control input is calculated based on the certain part of the steering system, and a RBF network is used to apply the switch control input by compensating the uncertainties. The simulated results show that the twitter using the method presented in the paper is smaller than the strategy using fixed control gain. And it does not need to know the upper bound of the uncertainties. The simulation indicates that, compared with the strategy of direct sliding mode control, the method proposed in the paper has high tracking performance. Therefore, the systemic robustness is stronger and it also enhances the utility of the sliding mode control.
Keywords
adaptive control; neurocontrollers; radial basis function networks; road traffic; self-adjusting systems; steering systems; traffic control; uncertain systems; variable structure systems; RBF network; equal control method; robust self-regulating control; sliding mode control; switch control; systemic robustness; vehicle steering system; Educational institutions; Interference; Robustness; Sliding mode control; Vehicles; Wheels; Neural network sliding mode control; Robust control; Vehicle steering control; adaptive control;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location
Jilin
Print_ISBN
978-1-61284-719-1
Type
conf
DOI
10.1109/MEC.2011.6025893
Filename
6025893
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