Modeling of the Anti-Lock Braking System Employing a Fuzzy Controller

The Anti-lock Braking System (ABS) stands as a pivotal active safety system mandated in modern vehicles globally. The control algorithm for ABS remains a focal point of extensive research due to its pivotal role in determining the braking quality of automobiles. Simulation stands as a prevalent method for scrutinizing and evaluating the operational effectiveness of developed algorithms. This article delineates the Anti-lock Braking System model, encompassing the tangential braking dynamic submodel and the ABS controller submodel. Employing a Fuzzy Controller within the ABS regulates the ground braking torque applied to the wheels based on the tire slipping rate, amalgamated with the anticipated value during braking maneuvers. This proposed ABS model serves as a tool for assessing the operational efficacy of the braking system, particularly in emergency braking scenarios. Experimental assessments are conducted on real roads in order to acquire input parameters for simulation and validate the accuracy of the proposed model. The minimal disparity between simulation outcomes and real-world experimental data not only demonstrates the applicability of the Fuzzy Controller in regulating braking torque in response to wheel slip rates during high-speed emergency braking but it also underscores the high precision of the proposed ABS model.