针对重型汽车研究了横摆稳定性差动制动模糊控制方法,以横摆角速度和质心侧偏角为控制目标,利用差动制动产生适当的横摆力矩,提高车辆的横摆稳定性。根据具体车型建立了重型汽车的虚拟样机整车模型,并利用Matlab/Simulink 搭建了差动制动模糊控制系统,通过ADAMS-Matlab 联合仿真分析了不同车速、制动减速度、路面附着系数和转弯半径下的车辆响应。结果显示,应用差动制动模糊控制方法,在各种工况下均能使车辆的横摆角速度、质心侧偏角和侧向加速度明显减小,且制动减速度、转弯半径越大控制效果越明显,在低路面附着系数下也能达到明显的控制效果,表明该方法可有效提高重型汽车在转向操纵下的横摆稳定性。
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.
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