ANFIS Based PID Control of Antilock Braking System Model

This research paper explores the application of an Adaptive Neuro-Fuzzy Inference System (ANFIS) in conjunction with a Proportional-Integral-Derivative (PID) controller to optimize the performance of Anti-lock Braking Systems (ABS). The primary goal is to maintain a target slip value of 0.2 and minimize the stopping distance during braking. The proposed control strategy utilizes the adaptive and intelligent tuning capabilities of ANFIS to optimize the PID controller parameters. Simulation and experimental results demonstrate the effectiveness of the ANFIS-based PID control approach in achieving the desired slip value and enhancing braking performance. These results of simulations are compared with the simulations results of PID and Fuzzy tuned PID control of ABS. Finally, desired slip is being achieved using ANFIS based PID control of ABS Simulink model.