Fault estimation of satellite reaction wheels using covariance based adaptive unscented Kalman filter
| Autor: | Hekmat Alighanbari, Afshin Rahimi, Krishna Dev Kumar |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering business.industry 020208 electrical & electronic engineering Aerospace Engineering Control reconfiguration 02 engineering and technology Kalman filter Invariant extended Kalman filter Adaptive filter Extended Kalman filter 020901 industrial engineering & automation Control theory Filter (video) 0202 electrical engineering electronic engineering information engineering Fast Kalman filter business Alpha beta filter |
| Zdroj: | Acta Astronautica. 134:159-169 |
| ISSN: | 0094-5765 |
| DOI: | 10.1016/j.actaastro.2017.02.003 |
| Popis: | Reaction wheels, as one of the most commonly used actuators in satellite attitude control systems, are prone to malfunction which could lead to catastrophic failures. Such malfunctions can be detected and addressed in time if proper analytical redundancy algorithms such as parameter estimation and control reconfiguration are employed. Major challenges in parameter estimation include speed and accuracy of the employed algorithm. This paper presents a new approach for improving parameter estimation with adaptive unscented Kalman filter. The enhancement in tracking speed of unscented Kalman filter is achieved by systematically adapting the covariance matrix to the faulty estimates using innovation and residual sequences combined with an adaptive fault annunciation scheme. The proposed approach provides the filter with the advantage of tracking sudden changes in the system non-measurable parameters accurately. Results showed successful detection of reaction wheel malfunctions without requiring a priori knowledge about system performance in the presence of abrupt, transient, intermittent, and incipient faults. Furthermore, the proposed approach resulted in superior filter performance with less mean squared errors for residuals compared to generic and adaptive unscented Kalman filters, and thus, it can be a promising method for the development of fail-safe satellites. |
| Databáze: | OpenAIRE |
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