Adaptive Switching Event-Triggered Control for Active Suspension Systems With Acceleration Performance Constraint
Qiang Zeng, Jun Zhao
Abstract
This work focuses on an adaptive control problem for active suspension systems (ASSs) with the acceleration performance constraint over the controller area network (CAN). We aim to develop an effective event-triggered control technique to significantly reduce the communication burden of the CAN. To this end, an event-triggered mechanism based on the switching threshold is developed to obtain satisfactory suspension performances while greatly improving the network resource utilization on the CAN. In particular, the threshold parameters are adjusted according to road conditions, which enhances the flexibility of the event-triggered mechanism in face of different road excitation. Then, we propose a novel adaptive algorithm based on the acceleration constrained model by means of which the method ensures that the maximum overshoot of the vehicle acceleration cannot be violated. Moreover, under the presented control strategy, the performance requirements in the resulting closed-loop ASSs are guaranteed, while the tracking error of the vertical displacement converges to a small region. Finally, simulation results by using the simulator consisting of the professional vehicle simulation software Carsim and MATLAB/Simulink are provided to demonstrate the effectiveness of the proposed methodology.