| This paper makes some deep research on the self-optimizing control method and realizes a visualized emersion of the vehicle anti-lock braking system (ABS).We build a dynamic model for the whole vehicle, the wheel and the brake; establish a simulation model for vehicle ABS with Matlab/Simulink soft ware.Directed against the commonly used control methods which adopt logical threshold value, we put forward a self-optimizing control method, based on the single-wheel vehicle model, the loading diversion is laid special stress, further, build the mathematics model of two-wheeled vehicle, and the scene of which move on three types of typical road surface. The result indicates the wheels don't lock on every road surface, as shows the ability of avoiding the wheel locking. The values of slide ratio approach and revolve round the best slide ratio constantly, which indicates this method utilizes the character of pavement thoroughly, and the braking efficiency is excellent. The braking moment and the brakeage adjusted automatically according to the change of pavement condition, which realizes the automatic recognition to the pavement condition for vehicles. It turned well when we utilize this method into the simulation of straight braking state for four-wheeler vehicles on symmetrical pavement, therefore, the self-optimizing control method is not only feasible but worth to be spread extensively.In this paper, we have introduced the technology of three-dimensional animation and virtual reality (VR), and expounded the principle, character, study approach and the application area of that.Besides, in this paper, we have established the three dimensional model of vehicle body and wheels with the CAD technology. Further, we have handled above-mentioned simulation result and got the key frames which are needed by the visible simulation of vehicle braking, installed and played up the key frames animations of vehicle body and wheels in the 3DS MAX respectively, obtained the anti-lock braking animation of the whole vehicle ultimately.In short, the result indicates that it is not only theoretically significant but also practically valuable to utilize the self-optimizing control method for investigating the... |