LMI Based Fault Detection and Isolation on Base Isolation System Model

Abstract

Fault detection and isolation (FDI) in engineering systems can provide early warnings of faulty sensors and actuators in order to prevent events that lead to catastrophic failures. The main objective of this paper describes the application of FDI and fuzzy fault tolerant control techniques on base isolation systems. Thus, this paper presents a Linear Matrix Inequality (LMI) based filter design theorem and approach of fixed-order FDI. The necessary and sufficient conditions for the existence of a solution to detecting and isolating faults using H∞ formulation is provided in the proposed filter design. Furthermore, a Fuzzy Fault Tolerant Controller (FFTC) for base isolation structure model based on the FDI filter is designed to preserve the pre-specified performance of the system in the presence of faults. Simulation and experimental results demonstrate that the designed filter can successfully detect and isolate faults including displacement sensor and accelerometer, while maintaining excellent performance of base isolation technology in faulty conditions.