Enhancement of anti-lock braking system performance by using intelligent control technique for different road conditions

Recently, the vehicle brake system equipped with anti-lock braking systems (ABS) is considered as one of the most important effective safety systems. The importance of ABS is to maintain the safety of vehicles on roads during emergency braking and it enables reliable stopping whilst maintaining the vehicle stability and eased steer-ability. Therefore, the aim of this research is to investigate the vehicle braking performance of controlled ABS that is designed with three types of controller and compare them. The controller types are bang-bang, Proportional Integral Derivative (PID) and Fuzzy Logic Control (FLC) on rough dry and wet roads to control the longitudinal slip. The main obstacles of controller design in automobile systems are concerned to high non-linearity of the mathematical model. 2DOF longitudinal quarter vehicle model by taking into account of 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 the vehicle model. By reviewing the results, it was found that FLC method has an effective and better control compared to two other methods. 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 FLC at a speed of 100 km/hr. © 2021. MechAero Foundation for Technical Research & Education Excellence.