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Fault detection and fault tolerant control of a smart base isolation system with magneto-rheological damper

机译：具有磁流变阻尼器的智能基础隔离系统的故障检测和容错控制

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Fault detection and isolation (FDI) in real-time systems can provide early warnings for faulty sensors and actuator signals to prevent events that lead to catastrophic failures. The main objective of this paper is to develop FDI and fault tolerant control techniques for base isolation systems with magneto-rheological (MR) dampers. Thus, this paper presents a fixed-order FDI filter design procedure based on linear matrix inequalities (LMI). The necessary and sufficient conditions for the existence of a solution for detecting and isolating faults using the H? formulation is provided in the proposed filter design. Furthermore, an FDI-filter-based fuzzy fault tolerant controller (FFTC) for a base isolation structure model was designed to preserve the pre-specified performance of the system in the presence of various unknown faults. Simulation and experimental results demonstrated that the designed filter can successfully detect and isolate faults from displacement sensors and accelerometers while maintaining excellent performance of the base isolation technology under faulty conditions.
机译：实时系统中的故障检测和隔离（FDI）可以为故障传感器和执行器信号提供预警，以防止导致灾难性故障的事件发生。本文的主要目的是为带有磁流变（MR）阻尼器的基础隔离系统开发FDI和容错控制技术。因此，本文提出了一种基于线性矩阵不等式（LMI）的固定阶FDI滤波器设计程序。存在使用H2检测和隔离故障的解决方案的必要和充分条件。建议的过滤器设计中提供了公式。此外，针对基本隔离结构模型设计了基于FDI滤波器的模糊容错控制器（FFTC），以在存在各种未知故障的情况下保留系统的预定性能。仿真和实验结果表明，所设计的滤波器可以成功地检测并隔离位移传感器和加速度计中的故障，同时在故障条件下保持基本隔离技术的出色性能。

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