Adaptive PID control scheme for full car suspension control

The objective of this paper is to design an adaptive proportional, integral, and derivative (APID) control strategy for a full car active suspension system. A nonlinear full car model is used to capture all the dynamics of a real vehicle suspension system. A vehicle's stability and ride comfort is affected by road disturbances and can be improved by using an APID-based active suspension system. This paper presents performance assessment of the vehicle suspension system in terms of displacement and acceleration of seat, heave, pitch, and roll. The update parameters of APID are tuned online using the gradient descent method. The convergence of the proposed technique is guaranteed in the closed-loop control system. Simulation results show that the APID control scheme improves the convergence speed and robustness of the APID control strategy significantly for an active suspension system.