Modeling and Prediction of Momentum Wheel Speed Data
Joint Authors
Li, Jichao
Wang, Xiaxia
Chen, Chaobo
Gao, Song
Source
International Journal of Aerospace Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-03-03
Country of Publication
Egypt
No. of Pages
6
Abstract EN
To solve the problems of data loss and unequal interval of momentum wheel (MW) speed during a satellite stable operation, this paper presents a multidimensional AR model.
A Lagrange interpolation method is used to convert measurements to equal interval data, and the FFT algorithm is adopted to calculate the period of MW speed variation.
The long data sequence is converted into multidimensional time series, based on the equal interval data and the period.
A multidimensional AR model is established, and the least square method is used to estimate the model parameters.
The future data trend is predicted by the proposed model.
Simulation results show that the prediction algorithm can achieve the across cycle prediction of the MW speed data.
American Psychological Association (APA)
Li, Jichao& Wang, Xiaxia& Chen, Chaobo& Gao, Song. 2020. Modeling and Prediction of Momentum Wheel Speed Data. International Journal of Aerospace Engineering،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1168080
Modern Language Association (MLA)
Li, Jichao…[et al.]. Modeling and Prediction of Momentum Wheel Speed Data. International Journal of Aerospace Engineering No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1168080
American Medical Association (AMA)
Li, Jichao& Wang, Xiaxia& Chen, Chaobo& Gao, Song. Modeling and Prediction of Momentum Wheel Speed Data. International Journal of Aerospace Engineering. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1168080
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168080