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Article information
2020 , Volume 25, ¹ 3, p.35-45
Chernikova O.S., Tolstikov A.S., Chetvertakova Y.S.
Application of adaptive identification methods for refining parameters of radiation pressure models
Purpose. The paper considers the problem of estimation of unknown parameters for various models of solar radiation based on adaptive modifications of the unscented Kalman filter. The estimations of the obtained parameters are used both in solar radiation models and in construction of trajectory of a navigation satellite. Methodology. To solve the problem of parametric identification of stochastic nonlinear continuous-discrete systems, several adaptive modifications of the unscented Kalman filter are considered. The algorithms assume recurrent estimation of covariance matrices of system noise and measurements. The maximum likelihood method is used for parametric identification of stochastic nonlinear continuous-discrete systems. Adaptive modifications of the unscented Kalman filter are used in the construction of the identification criterion. Estimates of unknown parameters of various solar radiation models are found for the movement for the navigation satellite model as an example. The satellite orbital movement forecast is made. Finding and value. The application of the adaptive parametric identification procedure allows calculating the estimates for the parameters of several models of the solar radiation with sufficient accuracy. The obtained results lead to significant improvement of quality of the prediction for satellite trajectory
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Keywords: nonlinear stochastic continuous-discrete system, uscented Kalman filter, adaptive filtering, parametric identification, spacecraft motion model, radiation pressure model
doi: 10.25743/ICT.2020.25.3.005
Author(s):
Chernikova Oksana Sergeevna
PhD. , Associate Professor
Office: Novosibirsk State Technical University
Address: 630073, Russia, Novosibirsk, 20 Prospekt K. Marksa
E-mail: chernikova@corp.nstu.ru
SPIN-code: 5520-2336Tolstikov Aleksander Sergeevich
Dr.
Position: Head of department
Office: Siberian Metrological Scientific-Research Institute, Novosibirsk State Technical University
Address: 630004, Russia, Novosibirsk, 4,Dimitrova aven.
Phone Office: (383) 210-11-85
E-mail: tolstikov@corp.nstu.ru
Chetvertakova Yuliya Sergeevna
Position: Student
Office: Novosibirsk State Technical University
Address: 630073, Russia, Novosibirsk, 20 Prospekt K. Marksa
E-mail: julia_ch98@mail.ru
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Bibliography link:
Chernikova O.S., Tolstikov A.S., Chetvertakova Y.S. Application of adaptive identification methods for refining parameters of radiation pressure models // Computational technologies. 2020. V. 25. ¹ 3. P. 35-45
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