Publications
Detailed Information
Unscented 칼만필터를 이용한 관성센서 복합 고장검출기법 : Hybrid Fault Detection and Isolation Method for Inertial Sensors Using Unscented Kalman Filter
Cited 0 time in
Web of Science
Cited 0 time in Scopus
- Authors
- Issue Date
- 2005-03
- Citation
- 한국항공우주학회지, 제33권 제3호, 2005, pp.57~64
- Keywords
- 고장검출 및 분리 ; 다중화 관리 ; 칼만 필터 ; Fault Detection and Isolation ; Redundancy Management ; Unscented 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
- Files in This Item:
- There are no files associated with this item.
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.