Enhancement of Anti-locking Brake System Performance by using Intelligent Control Technique with Different Road Conditions

Abstract

Recently, the vehicle brake system equipped with anti-lock braking systems (ABS) is considered one of the most important effective safety systems. The importance of ABS, to get maintains the safety of vehicles on roads during emergency braking and it enables reliable stopping whilst maintaining the vehicle stability and ease steer-ability. Therefore, the aim of this research is to investigate the vehicle braking performance of controlled brake ABS that is designed with three types of controller and compares them, they are bang-bang, Proportional Integral Derivative (PID) and Fuzzy Logic Control (FLC) on rough dry and wet roads to control longitudinal slip. The main obstacles of controller design in automobile systems are concerned to high non-linearities of the mathematical model. 2DOF longitudinal quarter vehicle model with taking into account the rational motion of the tire is used to examine the braking performance. The tire-road interface model and braking system model are included in vehicle model. By reviewing the results, it was found that FLC method has an effective and better effect compared to two methods on the performance of brake system equipped with ABS system. It was found that vehicle stopping distance was reduced by 21.77m and 10.3m with dry and wet asphalt roads respectively compared to braking without ABS for fuzzy control at velocity 100 km/hr.