Modeling and control of automotive antilock brake systems through PI and neural network arithmetic

The control logic of automotive Antilock Brake Systems (ABS) is introduced in this paper, which integrates PI controller and Neural Network arithmetic. A novelty of this paper is the ability to achieve superior performance through self-tuning controller which can realize robust control. Vehicle system and controller modeling and simulation are executed on software in the loop simulation platform with Matlab/Simulink. Some typical cases are simulated to verify the effect of the control algorithm. Results show that the self-tuning controller can improve the vehicle performance dramatically than traditional PI controller.