Coordinated Path Following of UAVs using Event-Triggered Communication over Networks with Digraph Topologies
Hyungsoo Kang, Isaac Kaminer, Venanzio Cichella, Naira Hovakimyan
TL;DR
This work tackles coordinated path following for multiple UAVs under limited communications by introducing a decentralized event-triggered communication scheme on digraph topologies. Each UAV maintains a coordination state $\gamma_i(t)$ and a trajectory reference $p_{d,i}(\gamma_i(t))$, with a Lyapunov-based ETC controller ensuring exponential convergence of coordination errors while guaranteeing Zeno-exclusion. The contributions include a concrete ETC-based control law, neighbor-estimation mechanisms, and rigorous stability analysis, validated by simulations on quadrotors showing reduced communication and robust synchronization under disturbances. The approach enables scalable, energy-efficient UAV coordination in networks with time-varying connectivity and constrained bandwidth.
Abstract
This article presents a novel time-coordination algorithm based on event-triggered communication to ensure multiple UAVs progress along their desired paths in coordination with one another. In the proposed algorithm, a UAV transmits its progression information to its neighbor UAVs only when a decentralized trigger condition is satisfied. Consequently, it significantly reduces the volume of inter-vehicle communications required to achieve the goal compared with the existing algorithms based on continuous communication. With such intermittent communications, it is shown that a decentralized coordination controller guarantees exponential convergence of the coordination error to a neighborhood of zero. Furthermore, a lower bound on the difference between two consecutive event-triggered times is provided showing that the Zeno behavior is excluded with the proposed algorithm. Lastly, simulation results validate the efficacy of the proposed algorithm.
