A comparative study of two control schemes for anti-lock braking systems

Abstract

The commercial Bang-Bang anti-lock braking system has several short-comings. Therefore, there is the need for continual improvement on the ABS control strategy. One of the problems associated with these short-comings includes the physical shock experienced by drivers through the brake petal pulsation, when the system is activated. A non-linear and a neural network-based alternative ABS control schemes are proposed and evaluated. The main goal is for the ABS controller to maintain optimal system performance in terms of slip regulation and minimising the vehicle stopping distance during hard-braking. A comparative analysis of the two ABS controllers based on simulation results, showed the neural network-based controller to be superior.