汽车气压ABS模糊控制应用研究

Applied Research on the Fuzzy Control over Automobile Air ABS

以汽车气压ABS为研究对象,利用M atlab/S im u link软件建立了两通道三传感器气压ABS的仿真模型,设计了针对气压ABS的自适应模糊控制器.通过模拟仿真,证实了自适应模糊控制气压ABS在减小汽车制动距离、防止车轮抱死方面有明显的效果,分析了滞后时间、汽车总质量、汽车质心位置、路面附着系数和制动初始速度等因素对气压ABS效果的影响,提出了“采用电-气制动方式减少滞后时间,取消传统制动总阀,增大前轮制动器因数和加装减速度传感器”等改进建议.

Taking the air ABS of automobiles as research objects and using the software Matlab/Simolink, the paper set up a simulating model of the air ABS of two channels and three sensors, and designed a self-adapting fuzzy controller aiming at the air ABS. Through simulating experiments, the paper affirmed that the air ABS of self-adapting fuzzy control has an obvious effect on decreasing braking distances of automobiles and preventing the wheels from locking up. It also analyzed the influences of the factors such as the lag time, the total mass of an automobile, the central position of automobile mass, the adhesive coefficient of roads and the braking primary velocity, on the effect of the air ABS, and proposed some suggestions of using the electricity-air braking style to decrease the leg time, abrogating the traditional braking assembly cylinder, increasing the braking factor of front wheels and adding the sensor of deceleration. The research results can be used for reference when the air ABS of automobiles is further studied and its products are exploited.