Intelligent Adaptive Control for Anti-Lock Braking System

Abstract

One of the most important safety features of an automobile is its braking system. The ability of a braking system to provide safe and repeatable stopping is the key to safe motoring. Mechatronics subsystems are more and more developed in automotive industries and in the recent years modern control techniques have been applied to a wide range of many electronic control systems in the automotive industry such as Anti-Lock Brake Systems (ABS). This article proposed an intelligent adaptive control for anti-lock braking system (ABS), to control the desired slip ratio that prevents wheels from locking. A Fuzzy controller having Gaussian memberships is developed to calculate the amount of reduction of the applied torque based on the error signal (the difference between the measured slip ratio and the desired slip ratio). Results of the proposed controller are compared with the results of a PID controller. The scheme is implemented using a quarter car model and simulation tests were carried out in different conditions. The simulation results show that the proposed scheme is robust and effective.