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Attitude Estimation for Satellite Fault Tolerant System Using Federated Unscented Kalman Filter
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 Title & Authors
Attitude Estimation for Satellite Fault Tolerant System Using Federated Unscented Kalman Filter
Bae, Jong-Hee; Kim, You-Dan;
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 Abstract
We propose a spacecraft attitude estimation algorithm using a federated unscented Kalman filter. For nonlinear spacecraft systems, the unscented Kalman filter provides better performance than the extended Kalman filter. Also, the decentralized scheme in the federated configuration makes a robust system because a sensor fault can be easily detected and isolated by the fault detection and isolation algorithm through a sensitivity factor. Using the proposed algorithm, the spacecraft can continuously perform a given mission despite navigation sensor faults. Numerical simulation is performed to verify the performance of the proposed attitude estimation algorithm.
 Keywords
Spacecraft;Fault tolerant;Federated unscented Kalman filter;
 Language
English
 Cited by
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