关键词: 道路试验, 仿人智能控制, 分级智能控制, 模糊智能控制, 汽车防抱死制动系统

Abstract: A new method using difference of the peak values of wheel velocity to calculate reference vehicle velocity and reference slip ratio is proposed, which is based on the analyses of the mechanics characteristics between the tire and the road when the vehicle is being braked. To solve complex control problem of automobile anti-lock braking system (ABS) in different conditions, a hierarchical intelligent control (HIC) system is investigated. It includes running control level, parameters adjusting level and organization coordination level. According to the instantaneous performance index of reference slip ratio, a human-simulation intelligent controller (HSIC) aiming at con-trolling reference slip ratio is designed in running control level. The characteristic model, control modes set and reasoning rules set are built. In parameter adjusting level, to decrease the defi-ciency of reference slip ratio control, a method is pointed that modifies the calculation values of HSIC pursuant to wheel an-gle deceleration. In coordination level, a fuzzy intelligent con-troller with the inputs of wheel deceleration and reference slip ratio is designed to implement road automatic identification. Then four wheels braking coordination control rules are also given. The simulation on HIC system of ABS is developed with Matlab. An automotive ABS test and control system is con-structed and the road tests under different conditions are com-pleted according to the international standards. Compared to traditional logic gate control, test results show that the HIC is an effective new ABS control method with better braking sta-bility, adaptiviness and control accuracy.

Key words: Automobile anti-lock braking system, Fuzzy intelligent control, Hierarchical intelligent control Road test, Human-simulation intelligent control