Enhancing the Performance of Active Suspension Systems Through Adaptive Control

In this paper, the advantages of using adaptive controllers in active vehicle suspension systems to improve passenger comfort and safety are investigated.Based on Lyapunov analysis, the adaptation law of the controller is derived, where it uses the road profile and vehicle response to calculate the required control force.One of the advantages of the proposed controller is that it relies on a single tuning parameter, γ.In order to validate the proposed controller, MATLAB simulations are used to compare the performance of the proposed adaptively controlled system with that of both the uncontrolled and optimal controlled systems.The results show that the value of γ has significant effects on peak overshoot and the settling time of both vehicle displacement and acceleration.Furthermore, the results show a significant improvement between the adaptively controlled system and the uncontrolled system, with peak overshoot reductions of 44.6% and settling time reductions of 36%.The results also show that the adaptively controlled system proves its advantage by outperforming the optimal controlled system when dealing with large disturbances, but unfortunately, the adaptively controlled system typically requires a greater control force, twice as much as the optimal controlled system.Finally, the proposed adaptive controller exhibits remarkable performance and adaptability in responding effectively to changes in system parameters.This implies that, under many operational circumstances, it may be a trustworthy choice that ensures both the vehicle's safety and the comfort of its occupants.