TY - GEN
T1 - Fuzzy-logic-based controller design for four-wheel-drive electric vehicle yaw stability enhancement
AU - Feiqiang, Li
AU - Jun, Wang
AU - Zhaodu, Liu
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=76549083599&partnerID=8YFLogxK
U2 - 10.1109/FSKD.2009.827
DO - 10.1109/FSKD.2009.827
M3 - Conference contribution
AN - SCOPUS:76549083599
SN - 9780769537351
T3 - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
SP - 116
EP - 120
BT - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
T2 - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
Y2 - 14 August 2009 through 16 August 2009
ER -