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Geometric Analysis and Optimization for FDI Performance of Redundant Inertial Sensors : 중첩 관성센서의 고장검출 및 판별 성능에 대한 기하학적 분석 및 최적화
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- Authors
- Advisor
- 박찬국
- Major
- 공과대학 기계항공공학부
- Issue Date
- 2016-08
- Publisher
- 서울대학교 대학원
- Keywords
- Fault Detection and Identification (FDI) ; Redundant inertial sensor ; Parity Space Approach ; Performance index ; Sensor Configuration ; Optimization
- Description
- 학위논문 (석사)-- 서울대학교 대학원 : 기계항공공학부, 2016. 8. 박찬국.
- Abstract
- This thesis suggests optimal configurations for redundant inertial sensors with analysis of geometric parameters with respect to Fault Detection and Identification (FDI). To define FDI performance of each configuration, a performance index for FDI method based on Parity Space Approach (PSA) is applied. Even though this index is dependent on the geometry of sensor configurations, however, it is hard to analyze the performance index directly since it is expressed in the null space of Direction Cosine Matrix (DCM) for the configurations. To solve this limitation, a modified form of the FDI performance index is presented as a function of geometric parameter of the configurations. It makes the FDI performance analysis and optimization of the configurations much easier. Additionally, the optimizations of configurations such as platonic solids, single cones and dual cones are conducted by the modified performance index. Finally, the FDI performance of each configuration is compared with others by the FDI performance index. The comparison result shows that the optimized dual conic configurations achieve FDI performance superior to the one of other configurations. The same results are also confirmed by simulations and experiments on each configuration.
- Language
- English
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