Modeling and Prediction of Momentum Wheel Speed Data

Modeling and Prediction of Momentum Wheel Speed Data

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 calcu...

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Main Authors: Jichao Li, Xiaxia Wang, Chaobo Chen, Song Gao
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:International Journal of Aerospace Engineering
Online Access:http://dx.doi.org/10.1155/2020/5142696
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spelling doaj-6fb3d871ee254a6abf9afe39ef3dc2342020-11-25T02:38:06ZengHindawi LimitedInternational Journal of Aerospace Engineering1687-59661687-59742020-01-01202010.1155/2020/51426965142696Modeling and Prediction of Momentum Wheel Speed DataJichao Li0Xiaxia Wang1Chaobo Chen2Song Gao3Autonomous System and Intelligent Control International Joint Research Center, Xi’an Technological University, Xi’an 710021, ChinaAutonomous System and Intelligent Control International Joint Research Center, Xi’an Technological University, Xi’an 710021, ChinaAutonomous System and Intelligent Control International Joint Research Center, Xi’an Technological University, Xi’an 710021, ChinaAutonomous System and Intelligent Control International Joint Research Center, Xi’an Technological University, Xi’an 710021, ChinaTo 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.http://dx.doi.org/10.1155/2020/5142696
collection DOAJ
language English
format Article
sources DOAJ
author Jichao Li
Xiaxia Wang
Chaobo Chen
Song Gao
spellingShingle Jichao Li
Xiaxia Wang
Chaobo Chen
Song Gao
Modeling and Prediction of Momentum Wheel Speed Data
International Journal of Aerospace Engineering
author_facet Jichao Li
Xiaxia Wang
Chaobo Chen
Song Gao
author_sort Jichao Li
title Modeling and Prediction of Momentum Wheel Speed Data
title_short Modeling and Prediction of Momentum Wheel Speed Data
title_full Modeling and Prediction of Momentum Wheel Speed Data
title_fullStr Modeling and Prediction of Momentum Wheel Speed Data
title_full_unstemmed Modeling and Prediction of Momentum Wheel Speed Data
title_sort modeling and prediction of momentum wheel speed data
publisher Hindawi Limited
series International Journal of Aerospace Engineering
issn 1687-5966
1687-5974
publishDate 2020-01-01
description 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.
url http://dx.doi.org/10.1155/2020/5142696
work_keys_str_mv AT jichaoli modelingandpredictionofmomentumwheelspeeddata
AT xiaxiawang modelingandpredictionofmomentumwheelspeeddata
AT chaobochen modelingandpredictionofmomentumwheelspeeddata
AT songgao modelingandpredictionofmomentumwheelspeeddata
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