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http://dx.doi.org/10.5139/JKSAS.2005.33.3.057

Hybrid Fault Detection and Isolation Method for Inertial Sensors Using Unscented Kalman Filter  

Park, Sang-Kyun (현대 모비스)
Kim, You-Dan (서울대학교 기계항공공학부)
Park, Chan-Guk (서울대학교 기계항공공학부)
Roh, Woong-Rae (한국항공우주연구원 발사체사업단)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.33, no.3, 2005 , pp. 57-64 More about this Journal
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 using 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.
Keywords
Fault Detection and Isolation; Redundancy Management; Unscented Kalman Filter;
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