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Title:Fault detection and isolation in switched linear systems and applications
Author(s):Zholbaryssov, Madi
Advisor(s):Domínguez-García, Alejandro D.
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Fault detection and isolation
reduced-order observers
switched linear systems
photovoltaic systems
differential power processing converters
Abstract:This thesis proposes a fault detection and isolation (FDI) method for switched linear systems. The method builds on a class of FDI filters for linear time-invariant (LTI) systems based on reduced-order observers. If certain conditions are satisfied, then it is possible to apply these filters to switched linear systems. When system parameters change slowly, a system is considered to be in a faulty mode. In the absence of faults, the system dynamics are described by a switched linear state space model. In a faulty mode, the state space model is modified by adding disturbance terms associated with parameter changes and component degradations. An FDI filter consists of a bank of reduced-order observers with residual generators which have certain geometric properties that allow detecting and isolating faults. In order to distinguish different faults, an FDI filter uses different residual generators and observers. We demonstrate practical feasibility of our approach by applying it to a photovoltaic (PV) system with differential power processing (DPP) converters. Our simulation results confirmed the fact that an FDI filter can detect and pinpoint multiple faults which can simultaneously affect a system. Finally, we experimentally demonstrate the feasibility of our approach.
Issue Date:2014-05-30
Rights Information:Copyright 2014 Madi Zholbaryssov
Date Available in IDEALS:2014-05-30
Date Deposited:2014-05

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