Dynamic-Memory Event-Triggered Fixed-Time Distributed Power Management for UAV Power System Under Intermittent Communication Failures

This article investigates a power management strategy (PMS) for uncrewed aerial vehicles (UAVs) under intermittent communication failures (ICFs) to reduce the communication burden and improve the robustness of the UAV power system. To extend the lifetime of the UAV, a PMS is proposed for a hybrid power source that contains bi-directional power flow, where the equivalent carbon emissions and hydrogen consumption of fuel cells and Li-ion batteries are optimized throughout the UAV’s flight mission. To achieve guaranteed performance in practice, a dynamic-memory event-triggered fixed-time controller considering ICFs is proposed. Compared with the conventional event-triggered control that is developed under ideal communication conditions, the proposed algorithm could further reduce the number of triggerings and improve the robustness of the system. Furthermore, Lyapunov stability of the proposed algorithm is proved and its non-Zeno behavior is analyzed. Finally, simulation results are provided considering various scenarios. Under different flight stages and communication situations, the incremental cost can reach the optimal value, effectively eliminating Zeno behavior. Compared with other event-triggered algorithms, the communication burden was greatly reduced. The equivalent carbon emissions and hydrogen consumption varied minimally under high-sensitivity load fluctuations and model uncertainty fluctuations, further verifying the effectiveness of the proposed strategy.