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http://dx.doi.org/10.5302/J.ICROS.2002.8.11.928

Observer-Based Robust Fault Diagnosis and Reconfigurable Adaptive Control for Systems with Unknown Inputs  

최재원 (부산대학교 기계공학 및 기계기술연구소)
이승우 (부산대학교 기계공학부 대학원)
서영수 (울산대학교 전기전자정보시스템공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.8, no.11, 2002 , pp. 928-934 More about this Journal
Abstract
A natural way to cope with fault tolerant control (FTC) problems is to modify the control parameters according to an online identification of the system parameters when a fault occurs. However. due to not only difficulties Inherent to the online multivariable identification in closed-loop systems, such as modeling errors, noise or the lack of excitation signals, but also long time requirement to identify the post-fault system and implemeutation of control problems during the identification process, we propose an alternative approach based on the observer-based fault detection and isolation (FDI) and model reference adaptive control (MRAC). The proposed robust fault diagnosis method is based on a bank of observers. We also propose a model reference adaptive control with changeable reference models according to the occurred faults. Simulation results of a flight control example show the validity and applicability of the proposed algorithms.
Keywords
observer-based robust fault detection and isolation; model reference adaptive control; unknown inputs; modeling errors;
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Times Cited By KSCI : 1  (Citation Analysis)
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