AN ADAPTIVE FUZZY CONTROLLER FOR ANTI LOCK BRAKING SYSTEM (ABS)

The braking system is a nonlinear and time variant system which causes difficulties in developing a classical controller for an Anti-lock Braking System (ABS). Intelligent control methods especially fuzzy logic control would be suitable for controlling such a system. In this paper we have designed an adaptive fuzzy estimator controller for ABS to keep the wheel slip in a suitable range that depends on road condition. This control is consisting of three subsystems. The first subsystem computes a normalized braking torque, while the second estimates the road condition and computes the optimal wheel slip, and at last, the third subsystem modifies the normalized braking torque, from there, we compute the best braking torque for each wheel. The simulation results show the good performance of the proposed controller.