Adaptive backstepping controller for a vehicle active suspension system

This paper deals with the comparative study of the performance of an adaptive Back Stepping Controller (BSC), an intelligent Fuzzy Logic Controller (FLC) and a conventional Proportional Integral and Derivative Controller (PIDC) based Vehicle Active Suspension System (VASS). BSC with a linear filter design rejects the high frequency road disturbances and improves the trade-off between the ride comfort and suspension travel. FLC design does not require mathematical model of the system to be controlled. The effectiveness of BSC and FLC is compared with as that of the PID controller. With the Root Mean Square (RMS) value of body acceleration as the performance index, the simulation is carried out using MATLAB/SIMULINK software. Simulation results show that the BSC based VASS is effective in vibration isolation of the vehicle body compared to passive system, PIDC and FLC based VASS.