SHERP

Unscented 칼만필터를 이용한 관성센서 복합 고장검출기법
Hybrid Fault Detection and Isolation Method for Inertial Sensors Using Unscented Kalman Filter

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Authors
박상균; 김유단; 박찬국; 노웅래
Issue Date
2005-03
Publisher
한국항공우주학회 = The Korean Society for Aeronautical & Space Sciences
Citation
한국항공우주학회지, 제33권 제3호, 2005, pp.57~64
Keywords
고장검출 및 분리다중화 관리칼만 필터Fault Detection and IsolationRedundancy ManagementUnscented Kalman Filter
Abstract
In two-degree of freedom(TDOF) inertial sensors, two axes are mechanically
correlated with each other. Fault source of one axis sensor may affect the other axis
sensor, and therefore multiple fault detection and isolation(FDI) technique is required.
Conventional FDI techniques us ing hardware redundancy need four TDOF inertial
sensors for FDI. In this study, three TDOF inertial sensor redudancy case is
considered, where conventional FDI technique can detect the fault, but cannot isolate
the fault sensor. Hybrid FDI technique is proposed to solve this problem. Hybrid FDI
technique utilizes the analytic redundancy by utilizing the unscented kalman filter as
well as hardware redundancy for FDI. To verify the effectiveness of the proposed FDI
technique, numerical simulations are performed using six degree of freedom nonlinear
aircrft dynamics.
ISSN
1225-1348
Language
Korean
URI
http://hdl.handle.net/10371/9657
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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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