Research on intelligent vehicle steering control based on fuzzy control

Author

Huang, Guoming ; Xue, Yuncan

Author_Institution

Jiangsu Key Lab. of Power Transm. & Distrib. Equip. Technol., Hohai Univ., Changzhou, China

fYear

2011

fDate

27-29 June 2011

Firstpage

1611

Lastpage

1614

Abstract

The techniques of target recognition and trajectory prediction have been analyzed in this paper. Based on the photosensor, the fuzzy control algorithm has been put forward, and the fuzzy control has been applied in the steering control of the intelligent vehicle. The position error and route signals were employed as inputs in this strategy. Moreover, how to exert valid information from the logic level signals sampled by sensor was discussed in depth. The fuzzy control strategy can not only improve the driving quality of the vehicle race curve, but also improves the reliability of the vehicle race hunting.

Keywords

automated highways; fuzzy control; object detection; position control; sensors; steering systems; driving quality; fuzzy control algorithm; fuzzy control strategy; intelligent vehicle steering control; logic level signals; photosensor; position error; route signals; target recognition; trajectory prediction; vehicle race curve; vehicle race hunting reliability; Fuzzy control; Intelligent control; Intelligent vehicles; Laboratories; Power transmission; Publishing; Vehicles; fuzzy control; intelligent vehicle; steering control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Service System (CSSS), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9762-1

Type

conf

DOI

10.1109/CSSS.2011.5974921

Filename

5974921