期刊
ACTA ASTRONAUTICA
卷 73, 期 -, 页码 144-155出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.actaastro.2011.11.003
关键词
Spacecraft thermal design; Model correlation; Parameter estimation; Data assimilation
An adaptive estimation method of spacecraft thermal mathematical model is presented. The method is based on the ensemble Kalman filter, which can effectively handle the nonlinearities contained in the thermal model. The state space equations of the thermal mathematical model is derived, where both temperature and uncertain thermal characteristic parameters are considered as the state variables. In the method, the thermal characteristic parameters are automatically estimated as the outputs of the filtered state variables, whereas, in the usual thermal model correlation, they are manually identified by experienced engineers using trial-and-error approach. A numerical experiment of a simple small satellite is provided to verify the effectiveness of the presented method. (C) 2011 Elsevier Ltd. All rights reserved.
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