Adaptive Tracking Event-Triggered Control of Quarter-Car Bioinspiration Active Suspension Systems
针对仿生主动悬架系统，提出一种结合事件触发机制的自适应跟踪控制方法，通过追踪垂直位移差来精确跟踪理想模型，并提高通信效率，仿真验证了可行性。
In this article, an adaptive tracking control method for the bionic active suspension system with the event-triggered mechanism is proposed. In order to achieve the ideal control objectives, a nonlinear suspension system structure is proposed based on the biological inspiration. In the existing research, the suspension system tracking control methods are only aimed at a single part of the mass, respectively. But this article adopts a novel tracking method for the vertical displacement difference, which can track the ideal reference model more accurately. For the sake of alleviating the problem of limited resources in the process of vehicle communication, a control method combined with the events triggering of the relative threshold is proposed. The design of the controller makes the vertical displacement and vertical moving speed of the bionic suspension system close to zero. It can effectively improve the communication efficiency between the actuator and the controller. In the design of this system, all the signals involved are bounded. The Zeno behavior is successfully avoided among the event-triggered control mechanism. Finally, the feasibility and rationality of this method are verified by the simulation analysis of the bionic suspension system.