DocumentCode :
3541906
Title :
Research on intelligent vehicle steering control based on fuzzy control
Author :
Xu, Xiaofei ; Xia, Peirong ; Li, Denghua ; Zhao, Jingbo
Author_Institution :
Sch. of Autom., Beijing Inf. Sci. & Technol., Beijing, China
fYear :
2009
fDate :
16-19 Aug. 2009
Abstract :
The optimal race hunting method of intelligent vehicle based on fuzzy control was discussed in this paper It was a closed-loop control system by using detecting sensor, video and actuator We collected the effective information in the video signals from the camera, and fuzzified it with fuzzy control algorithm; then the fuzzy control technology was used in the steering control of the intelligent vehicle by inference and anti-fuzzy. The test showed, the control algorithm improved the driving quality of the vehicle race curve, and enhanced the reliability of the vehicle race hunting.
Keywords :
closed loop systems; fuzzy control; road vehicles; steering systems; video signal processing; closed-loop control system; fuzzy control technology; intelligent vehicle steering control; vehicle race hunting; video signals; Control systems; Fuzzy control; Inference algorithms; Intelligent actuators; Intelligent sensors; Intelligent vehicles; Optimal control; Sensor systems; Vehicle detection; Vehicle driving; detecting race; fuzzy control; intelligent vehicle; steering control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
Type :
conf
DOI :
10.1109/ICEMI.2009.5274193
Filename :
5274193
Link To Document :
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