DocumentCode :
154688
Title :
Multi-model fuzzy controller for vehicle lane tracking
Author :
Guangwei Wang ; Jin Zhao ; Xiangnan Zhang ; Rongchen Zhao
Author_Institution :
Sch. of Mech. Eng., Guizhou Univ., Guiyang, China
fYear :
2014
fDate :
8-11 Oct. 2014
Firstpage :
1341
Lastpage :
1346
Abstract :
A fuzzy-logic-based multi-model lateral controller for vehicle trajectory following is presented. It is designed to control the steering angle based on the lateral deviation and the yaw angle. Firstly, local controllers are designed for four speed regions respectively. Then, by using a weighted integration of the four local outputs through a fusion module, a global control output is obtained so as to ensure the global performance. The multi-model fuzzy controller, which inherits the advantages of both the multi-model control and fuzzy control, can be used for wide range operation of vehicle speed. To verify the robustness and effectiveness of the proposed controller, two simulation tests are carried out using AMESim and Matlab/Simulink. The results from the first simulation show the ability of the proposed controller in different speed operations, and the other test demonstrates that the proposed controller achieves satisfactory results for different curvature of trajectory.
Keywords :
control engineering computing; fuzzy control; position control; road traffic control; traffic engineering computing; AMESim; Matlab; Simulink; fusion module; lateral deviation; multimodel fuzzy controller; multimodel lateral controller; vehicle lane tracking; yaw angle; Conferences; Intelligent transportation systems; AMESim; intelligent vehicle; multi-model control; path following;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ITSC.2014.6957873
Filename :
6957873
Link To Document :
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