Channel-Level Event-Triggered Communication Scheme for Path Tracking Control of Autonomous Ground Vehicles With Distributed Sensors

作者：Liqin Zhang, Manjiang Hu, Hui Zhang, Yougang Bian, Anh‐Tu Nguyen, Rongjun Ding · 发表于：IEEE Transactions on Vehicular Technology · 年份：2023 · DOI：10.1109/tvt.2023.3274111 · 被引用次数：26 · 研究领域：Real-Time Systems Scheduling、Stability and Control of Uncertain Systems、Network Time Synchronization Technologies

In this article, a channel-level event-triggered communication scheme is investigated for path tracking control of autonomous ground vehicles via an in-vehicle network to ensure path tracking performance while reducing network resource utilization. First, a path tracking system is established considering the effect of norm bounded uncertainty on lateral vehicle dynamics, and a state feedback path tracking controller is designed within the Takagi–Sugeno fuzzy framework. Next, a decentralized event-triggered communication scheme is adopted between the sensors and controller, which makes it possible to save communication resources at the channel level. Finally, the results in the CarSim-Simulink joint-simulation environment show that the proposed controller can ensure a reliable path tracking performance in both lateral offset and heading error. At the same time, compared with the simple time-triggered scheme, the proposed method can effectively reduce the usage of communication resources by more than 80%.