A new adaptive estimation method of spacecraft thermal mathematical model with an ensemble Kalman filter |
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| Institution: | 1. Facultad de Ingeniería y Arquitectura, Universidad Católica de Manizales, Cr 23 no 60–63, Manizales, 170002, Colombia;2. Universidad Nacional de Colombia - Sede Manizales - Facultad de Ingeniería y Arquitectura - Departamento de Ingeniería Eléctrica, Electrónica y Computación - Percepción y Control Inteligente - Bloque Q, Campus La Nubia, Manizales, 170003, Colombia;1. Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210008;2. Key Laboratory of Planet Sciences, Chinese Academy of Sciences, Nanjing 210008;3. University of Chinese Academy of Sciences, Beijing 100049 |
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| Abstract: | 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. |
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