Abstract
Fault Detection and Isolation (FDI) is essential for navigation systems, for example, Global Navigation Satellite System (GNSS), to sustain a certain integrity
level. With unavoidable random error and model uncertainty, the performance of FDI for such systems is also degraded. This issue, known as robustness, has
attracted great research interests in the control community. In this paper, we try to improve the performance of FDI with optimized parity matrix to decouple the influence of uncertainties and other faults. Improvements in terms of the ability to detect a fault are achieved. Two criteria for detectable sensitivity and isolability are used to explain the results.
level. With unavoidable random error and model uncertainty, the performance of FDI for such systems is also degraded. This issue, known as robustness, has
attracted great research interests in the control community. In this paper, we try to improve the performance of FDI with optimized parity matrix to decouple the influence of uncertainties and other faults. Improvements in terms of the ability to detect a fault are achieved. Two criteria for detectable sensitivity and isolability are used to explain the results.
| Original language | English |
|---|---|
| Title of host publication | 2010 Int. Symp. on GPS/GNSS |
| Publication status | Published - Oct 2010 |
| Externally published | Yes |
Keywords
- Fault Detection and Isolation
- Parity Space
- Local Test
- Geometry Optimization
- Robustness