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