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Adaptive neuro-fuzzy controller for vehicle suspension system

This paper presents, a simple and robust Adaptive Neuro-Fuzzy Inference System (ANFIS) for vibration control of a Vehicle Active Suspension System (VASS) and compares with conventional Proportional, Integral and Derivative (PID) controller and an Artificial Neural Network (ANN) controller which is trained with conventional control data. The main objective is to enhance the travelling comfort to the passengers with the use of controllers for VASS when subjected to road disturbance. The simulation is carried out using MATLAB/SIMULINK software. Simulation results show that the ANFIS works well for the suppression of the vibration of vehicle body acceleration when subjected to random road excitation compared to passive system, PID and ANN controller based active systems.