Study On Anti-lock Braking System Controller Based On Self-optimalizing Control

With the progress of vehicle technology and the increase of automobile speed, vehicle braking system has been playing an important role in the safety. Anti-lock Braking System (ABS), as one of the new active safety equipments in vehicles, just has the function to prevent the wheel lock during vehicle hard braking, so that it can braking stability of the automotive and reduce the risk of accidents. However, the research of road test for ABS not only needs long development cycle, but also calls for lots of manpower, material and financial resources. Therefore the study of simulation and experiment table for ABS controller becomes more important. And control algorithm, as the core technology, is practically important for the improvement braking efficiency.In this dissertation, the domestic and overseas development and tendency of ABS are introduced. Research activities of ABS are introduced from the view of theory, simulation and experiment. Especially, the principle of self-optimalizing control and its application in the anti-lock braking system are studied. Base on force analysis during vehicle braking, simulation models of single wheel, half vehicle, tyre are built in the MATLAB/Simulink. According to the principle of self-optimalizing control, the self-optimalizing controller is designed. Simulation experiments have been conducted for anti-lock braking system in different roads. The results show that the wheel speed can follow the vehicle speed with the self-optimalizing controller applying, and the performance of the system tends to be stable. Meanwhile, after the simulation of the logic threshold control algorithms, the results of logic threshold control algorithms and self-optimalizing control algorithms are compared and analysed. The comparisons of simulation curves, simulation parameters and the value of MFDD show that brake perfomence and brake efficiency of self-optimalizing control algorithms are better. Finally, experiments are partly conducted in the air pressure ABS functional simulation bench, including the controller, circuit of wheel speed process and drive circuits of 8 solenoid valves. Software flow that can work for the bench is also designed. All those results can further lay solid foundation for the integral experiment.