Two-Stage Parametric Identification Procedure for a Satellite Motion Model Based on Adaptive Unscented Kalman Filters

В работе представлена новая двухэтапная процедура параметрической идентификации модели движения центра масс космического аппарата. На первом этапе процедуры с помощью метода максимального правдоподобия оцениваются параметры модели радиационного давления, при этом построение критерия идентификации осуществляется на основе нескольких адаптивных модификаций непрерывно-дискретного сигма-точечного фильтра Калмана. На втором этапе процедуры по результатам измерений остаточных разностей строится регрессионная модель неучтенных возмущений. Полученные численные результаты приводят к значительному улучшению точности прогнозирования траектории движения космического аппарата.

Ключевые слова

нелинейная стохастическая непрерывно-дискретная система; адаптивный сигма-точечный фильтр; параметрическая идентификация; радиационное давление; модель движения космического аппарата.

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