Antilock braking mechanism enhances the vehicle steadiness and steering ability to stop a vehicle wheel without locking and minimizing stopping distance. A scientific model of electronically monitored slowing mechanism (ABS) of quarter auto model has been produced. The different sorts of controllers such as P, PI, PD and PID have been executed and results are analyzed in Matlab/Simulink environment. The controller's parameters are streamlined to control wheel slip and stopping distance. A Genetic algorithmic optimization technique has been used to obtain gain parameters of controllers. The simulated results of an ABS system are compared with and without controller and further between the distinctive sorts of controllers. The output response of PID controller is better as compared to different controllers. Keywords-Antilock Braking System (ABS), Proportional controller (P), Proportional Integrative (PI), Proportional Derivative (PD), PID, modeling quarter car model, genetic algorithm. Slip ratio, steering ability.I.

A system identification technique has been approached to estimate the model of the pneumatic control system. The equal percentage pneumatic control valve makes the system highly nonlinear due to presence of hysteresis and stiction. A classical controller such as PI, PID has been approached but these controllers have limitations to control the nonlinearity presence in the system. A fuzzy controller is applied on the model in Matlab/Simulink environment. The simulated response of classical and fuzzy controller is compared at different operating point. The output response of fuzzy controller is better in term set point tracking and overshoot than conventional controller.