DocumentCode
2750233
Title
Fuzzy-Logic-Based Controller Design for Four-wheel-drive Electric Vehicle Yaw Stability Enhancement
Author
Feiqiang, Li ; Jun, Wang ; Zhaodu, Liu
Author_Institution
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
Volume
4
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
116
Lastpage
120
Abstract
Vehicle yaw stability enhancement controller for four-wheel-drive electric vehicle is proposed in this paper based on the fuzzy logic control technique. Brake differential control is used to stabilize vehicle yaw motion significantly. However, the forces between road and tires are not utilized effectively enough. As four motors are mounted in the four wheels individually to drive the vehicle, the four-wheel-drive electric vehicle has great advantage to use the tire traction and braking forces to generate active yaw moment for stabilizing vehicle motion. However it is more complex to allocate the desired yaw moment to over-actuators. So the control law for fuzzy logic controller is investigated based on the vehicle dynamic analysis. Simulation performance is evaluated in the CarMaker® virtual environment including driver model and road model. And the simulation results have shown that the design control law and fuzzy logic controller can enhance the yaw stability of the vehicle significantly, especially on the low friction road.
Keywords
control system synthesis; electric vehicles; fuzzy control; stability; vehicle dynamics; CarMaker® virtual environment; brake differential control; four-wheel-drive electric vehicle yaw stability enhancement; fuzzy-logic-based controller design; vehicle dynamic analysis; vehicle yaw motion; Electric vehicles; Fuzzy logic; Motion control; Roads; Stability; Tires; Traction motors; Vehicle driving; Vehicle dynamics; Wheels; Fuzzy logic control; electric vehicle; yaw stability enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.827
Filename
5359112
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