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저궤도 인공위성의 센서 및 구동기 통합 고장검출 및 분리 기법 : An Integrated Fault Detection and Isolation Method for Sensors and Actuators of LEO Satellite

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Authors
임준규이준한박찬국
Issue Date
2011-11
Publisher
제어·로봇·시스템학회
Citation
Journal of Institute of Control, Robotics and Systems, vol. 17, no. 11, pp. 1117-1124
Keywords
LEO satelliteFDI (Fault Detection and Isolation)IMMDKFoutlier detection method
Abstract
An integrated fault detection and isolation method is proposed in this paper. The main objective of this paper is
development fault detection, isolation and diagnosis algorithm based on the DKF (Decentralized Kalman Filter) and the bank of
IMM (I nteracting Multiple Model) filters using penalty scalar for both partial and total faults and the outlier detection algorithm for
preventing false alarm also included. The proposed FDI (Fault Detection and Iso lation) scheme is developed in four phases. In the
first phase, the outlier detection filter is designed to prevent false alarm as a pre-filter. In the second phases, two local filters and
master filter are designed to detect sensor faults. ln the third phases, the proposed FDI scheme checks sensor residual to isolate
sensor faults and 11 EKFs actuator fault lllodels are designed to detect wherever actuator faults occur. ln the last phases, four filters
are designed to identify the fault type which is either the total fault or partial fault. The developed scheme can deal with not only
sensor and actuator faults, but also preventing false alarm. An important feature of the proposed FDJ scheme can decreases fault
isolation time and figure out not only fault detection and isolation but also fault type identification. To verify the proposed FDI
algorithm performance, the Simulator is also developed under the Matlab/Simulink environment.
ISSN
1976- 5622
Language
Korean
URI
https://hdl.handle.net/10371/75155
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Journal Papers (저널논문_기계항공공학부)
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