The Attitude Determination and Control System (ADCS) in satellites uses different modes to estimate and control attitude during various mission phases. This study presents an ADCS design for an Earth-observing small satellite, including different modes with controllers and estimators. Mode transitions are achieved using threshold values and a discrete state Markov Chain model, with Bellman optimization controlling the Markov chain. Additionally, a Fault Detection and Isolation (FDI) algorithm is proposed, utilizing a Bayesian Network (BN) constructed with expert knowledge. A simulation environment is created to evaluate the performance of the algorithms and modes.
Fault-tolerant ADCS for Small Satellites Using Bayesian Networks
02.03.2024
3255516 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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