Li Fuqiang, Li Kang, Peng Chen, Gao Lisai
College of Sciences, Henan Agricultural University, Nongye Road, Zhengzhou, 450002, China; School of Electronic and Electrical Engineering, University of Leeds, Woodhouse Lane, Leeds, LS29JT, UK.
School of Electronic and Electrical Engineering, University of Leeds, Woodhouse Lane, Leeds, LS29JT, UK.
ISA Trans. 2023 Nov;142:83-97. doi: 10.1016/j.isatra.2023.07.012. Epub 2023 Jul 13.
This paper studies the event-triggered fuzzy non-fragile control of uncertain DC microgrids subject to false data injection (FDI) attacks, controller saturation, network delays and premise mismatching. Firstly, a dynamic event-triggered mechanism (ETM) is proposed, which can save more communication bandwidth than the static ETMs, and remove the complex Zeno-free computation required by the continuous-time ETMs. Secondly, a fuzzy time-delay closed-loop system model is established, which provides a unified framework to study the effects of the dynamic ETM, FDI attacks, uncertainties, saturation, delays and premise mismatching. Thirdly, mean-square exponential stability criteria are established, and co-design method for the saturated fuzzy non-fragile (SFNF) controller and the dynamic ETM is presented. Simulation results confirm that the SFNF controller can stabilize the unstable DC microgrid, while the dynamic ETM significantly reduces the triggering rate by 84.98%. Comparisons show that the proposed controller performs better than the non-fragile controller, fuzzy controller and robust linear controller, and the dynamic ETM achieves a lower triggering rate than the static ETMs.
本文研究了受虚假数据注入（FDI）攻击、控制器饱和、网络延迟和前提失配影响的不确定直流微电网的事件触发模糊非脆弱控制。首先，提出了一种动态事件触发机制（ETM），它比静态ETM节省更多通信带宽，并且消除了连续时间ETM所需的复杂无芝诺计算。其次，建立了一个模糊时滞闭环系统模型，该模型为研究动态ETM、FDI攻击、不确定性、饱和、延迟和前提失配的影响提供了一个统一框架。第三，建立了均方指数稳定准则，并给出了饱和模糊非脆弱（SFNF）控制器和动态ETM的协同设计方法。仿真结果表明，SFNF控制器能够稳定不稳定的直流微电网，而动态ETM显著降低了触发率，降低了84.98%。比较表明，所提出的控制器比非脆弱控制器、模糊控制器和鲁棒线性控制器性能更好，并且动态ETM实现了比静态ETM更低的触发率。
