Robust Event-Triggered Dynamic Average Consensus Against Communication Link Failures With Application to Battery Control
Lantao Xing, Qianwen Xu, Changyun Wen, Yu‐Chu Tian, Yateendra Mishra, Gerard Ledwich, Yongduan Song
Abstract
Dynamic average consensus (DAC) has found applications in various systems. The existing event-triggered DAC algorithms have not well addressed the issue of key communication link failures that lead to the separation of the initial communication topology. This article presents a modified event-triggered DAC algorithm that is independent of its initial conditions. As a result, it is robust against key communication link failures. In this algorithm, each agent decides locally when to transmit signals to its neighbors. In this way, the communication burden among the neighboring agents is reduced. A numerical example is provided to illustrate the effectiveness of the proposed algorithm. Moreover, the proposed algorithm is applied to a state-of-charge balance control problem of batteries in energy systems, and both simulations and hardware-in-the-loop tests are provided to demonstrate the control performance.