Ma Bowen, Lu Qing, Gu Zhou
College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Sensors (Basel). 2024 Apr 23;24(9):2677. doi: 10.3390/s24092677.
This paper addresses the problem of fault detection in DC microgrids in the presence of denial-of-service (DoS) attacks. To deal with the nonlinear term in DC microgrids, a Takagi-Sugeno (T-S) model is employed. In contrast to the conventional approach of utilizing current sampling data in the traditional event-triggered mechanism (ETM), a novel integrated ETM employs historical information from measured data. This innovative strategy mitigates the generation of additional triggering packets resulting from random perturbations, thus reducing redundant transmission data. Under the assumption of faults occurring within a finite-frequency domain, a resilient event-based H-/H∞ fault detection filter (FDF) is designed to withstand DoS attacks. The exponential stability conditions are derived in the form of linear matrix inequalities to ensure the performance of fault detected systems. Finally, the simulation results are presented, demonstrating that the designed FDF effectively detects finite-frequency faults in time even under DoS attacks. Furthermore, the FDF exhibits superior fault detection sensitivity compared to the conventional H∞ method, thus confirming the efficacy of the proposed approach. Additionally, it is observed that a trade-off exists between fault detection performance and the data releasing rate (DRR).
本文研究了存在拒绝服务（DoS）攻击时直流微电网中的故障检测问题。为处理直流微电网中的非线性项，采用了Takagi-Sugeno（T-S）模型。与传统事件触发机制（ETM）中利用电流采样数据的常规方法不同，一种新颖的集成ETM采用测量数据中的历史信息。这种创新策略减轻了由随机扰动导致的额外触发数据包的产生，从而减少了冗余传输数据。在故障发生在有限频率域的假设下，设计了一种弹性基于事件的H-/H∞故障检测滤波器（FDF）以抵御DoS攻击。以线性矩阵不等式的形式推导指数稳定性条件，以确保故障检测系统的性能。最后给出了仿真结果，表明所设计的FDF即使在DoS攻击下也能及时有效地检测有限频率故障。此外，与传统的H∞方法相比，FDF具有更高的故障检测灵敏度，从而证实了所提方法的有效性。另外，观察到故障检测性能与数据释放率（DRR）之间存在权衡。
