Abstract
In this paper, for multidimensional dynamic systems a sensor fault detection algorithm based on the confidence interval of the generalized variance of the Kalman filter innovation sequence, is presented. The longitudinal dynamics of an aircraft control system, as an example, is considered, and detection of the fault in the air velocity sensor affecting the covariance matrix of the Kalman filter is examined.
| Original language | English |
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| Pages (from-to) | 109-113 |
| Number of pages | 5 |
| Journal | Proceedings of the American Control Conference |
| Volume | 1 |
| Publication status | Published - 1999 |
| Event | Proceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA Duration: 2 Jun 1999 → 4 Jun 1999 |