Disturbance Observer-Based Event-Triggered Control of Vehicle Suspension With Finite-Time Prescribed Performance
Qiang Zeng, Jun Zhao
Abstract
In this article, we develop a disturbance observer-based event-triggered control (ETC) strategy for uncertain active suspension systems (ASSs), while guaranteeing the transient behavior and reducing the communication burden over the controller area network (CAN). In order to improve the transient and steady-state performances of ASSs, a novel global finite-time prescribed performance function (GFTPPF) is proposed. Unlike the existing vehicle suspension results on prescribed performance control (PPC), the proposed scheme is able to relax the restriction that the initial value depends on the prescribed function. Meanwhile, the proposed approach ensures that the tracking error is stabilized in a prescribed zone in a finite time independent of the initial condition. Then, a performance function-dependent event-triggered mechanism is suggested to alleviate the bandwidth occupancy on the CAN while obtaining satisfactory tracking performance. In addition, a disturbance observer is employed to estimate the lumped uncertainty in ASSs. All signals in the resulting close-loop ASSs are ensured bounded. Finally, the effectiveness of the developed methodology is demonstrated in simulation results.