A fuzzy-logic controller system is designed for improving the heavy vehicle's yaw stability in this paper. The control objectives of this system are the yaw rate and the body sideslip angle. With the differential braking, a corrective yaw moment is generated to improve the vehicle's yaw stability significantly. A vehicle virtual prototype model is established with the application of the Adams/Car. A fuzzy controller is designed for the yaw stability control system in the Matlab/Simulink environment and is combined with the vehicle mode1. The vehicle responses at various running speeds, brake decelerations, road frictional coefficients and road curve radii are analyzed by co-simulations. The results show that the proposed differential braking fuzzy controller can reduce the yaw rate, the body sideslip angle and the lateral acceleration noticeably and thus improve the vehicle's yaw stability effectively. With the increase of the brake deceleration and the road curve radius, the control effect is enhanced. Even on a low frictional coefficient road, the controller can also have an excellent performance in reducing the danger of the vehicle going out of control.
LI Shaohua
,
WU Jinyi
. A Fuzzy-logic Controller Design for Heavy Vehicle Based on Co-simulation[J]. Science & Technology Review, 2014
, 32(28/29)
: 91
-96
.
DOI: 10.3981/j.issn.1000-7857.2014.28/29.013
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