DocumentCode :
3397467
Title :
Research on the steering antilock braking control system for the vehicles
Author :
Li Guo ; Peng Sha
Author_Institution :
Autom. Sch., Univ. of Sci. & Technol. in Beijing, Beijing, China
fYear :
2011
fDate :
19-22 Aug. 2011
Firstpage :
2050
Lastpage :
2053
Abstract :
It is to study a new hierarchical intelligent control system in the vehicle´s steering antilock brake stability fields in this paper. A layered control system consisting of the execution layer and the cooperation layer is designed. On the execution layer, optimal sliding mode controller based on genetic algorithms is designed for the automotive brake controller. Optimal sliding mode controller based on genetic algorithms is designed for the automotive steering controller. On the cooperation layer, this paper provides coordination control scheme and gives a specific coordination strategy for two subsystems of braking and steering. Finally, the stability and the validity of the control algorithm are validated by simulation results.
Keywords :
automobiles; braking; genetic algorithms; hierarchical systems; intelligent control; optimal control; stability; steering systems; variable structure systems; automotive brake controller; automotive steering controller; cooperation layer; coordination control scheme; execution layer; genetic algorithms; hierarchical intelligent control system; optimal sliding mode controller; vehicle steering antilock brake stability; vehicle steering antilock braking control system; Control systems; Educational institutions; Force; Genetic algorithms; Stability analysis; Vehicles; Wheels; Coordinate control; Cornering braking; Optimal sliding mode controller based on genetic algorithms; Vehicle antilock braking system;
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.2011.6025894
Filename :
6025894
Link To Document :
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