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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2020/5142696 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832566138277462016 |
|---|---|
| author | Jichao Li Xiaxia Wang Chaobo Chen Song Gao |
| author_facet | Jichao Li Xiaxia Wang Chaobo Chen Song Gao |
| author_sort | Jichao Li |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-6fb3d871ee254a6abf9afe39ef3dc234 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-6fb3d871ee254a6abf9afe39ef3dc2342025-02-03T01:05:01ZengWileyInternational 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 |
| spellingShingle | Jichao Li Xiaxia Wang Chaobo Chen Song Gao Modeling and Prediction of Momentum Wheel Speed Data International Journal of Aerospace Engineering |
| title | 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_short | Modeling and Prediction of Momentum Wheel Speed Data |
| title_sort | modeling and prediction of momentum wheel 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 |