Adaptive Time-Varying Displacement Constraint Control for Active Suspension Systems with Dynamic Event-Triggered Mechanism

This paper gives a dynamic event-triggered control (ETC) algorithm for nonlinear active suspension systems(ASSs) with time-varying displacement constraints. An adaptive controller and adaptive law are designed. A time-varying displacement constrained control scheme is proposed according to Barrier Lyapunov function, which uses the backstepping technique to stabilize vehicle attitude and improve passenger comfort. On this basis, an adaptive controller design approach based on neural networks is proposed in this paper in the presence of modeling errors and unknown masses, which not only ensures driving safety and handling stability, but also improves vehicle ride comfort. Through a series of simulation experiments, we have obtained remarkable results, which fully demonstrate the significantly higher time response efficiency of our method in response to steady displacements, thus validating the effectiveness of the proposed method.