Satellite Attitude Identification and Prediction Based on Neural Network Compensation
This paper proposed a new attitude determination method for low-orbit spacecraft. The attitude prediction accuracy is greatly improved by adding the unmodeled environmental torque to the dynamic equation. Specifically, the environmental torque extraction algorithm based on extended Kalman filter and...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2023-01-01
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| Series: | Space: Science & Technology |
| Online Access: | https://spj.science.org/doi/10.34133/space.0009 |
| _version_ | 1797810749470408704 |
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| author | Zibin Sun Jules Simo Shengping Gong |
| author_facet | Zibin Sun Jules Simo Shengping Gong |
| author_sort | Zibin Sun |
| collection | DOAJ |
| description | This paper proposed a new attitude determination method for low-orbit spacecraft. The attitude prediction accuracy is greatly improved by adding the unmodeled environmental torque to the dynamic equation. Specifically, the environmental torque extraction algorithm based on extended Kalman filter and series extended state observer is introduced, and the unmodeled part of dynamic is identified through the inverse dynamic model. Then, the collected data are analyzed and trained by a backpropagation neural network, resulting in an attitude-torque mapping network with compensation ability. The simulation results show that the proposed feedback attitude prediction algorithm can outperform standard methods and provide a high accurate picture of prediction and reliability with discontinuous measurement. |
| first_indexed | 2024-03-13T07:12:28Z |
| format | Article |
| id | doaj.art-f78b2da0e4584afaa052072eb8f2c327 |
| institution | Directory Open Access Journal |
| issn | 2692-7659 |
| language | English |
| last_indexed | 2024-03-13T07:12:28Z |
| publishDate | 2023-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Space: Science & Technology |
| spelling | doaj.art-f78b2da0e4584afaa052072eb8f2c3272023-06-05T19:35:33ZengAmerican Association for the Advancement of Science (AAAS)Space: Science & Technology2692-76592023-01-01310.34133/space.0009Satellite Attitude Identification and Prediction Based on Neural Network CompensationZibin Sun0Jules Simo1Shengping Gong2School of Aerospace Engineering, Tsinghua University, Beijing 100084, China.School of Engineering, University of Central Lancashire, Preston PR1 1XJ, UK.School of Astronuatics, Beihang University, Beijing 102206, China.This paper proposed a new attitude determination method for low-orbit spacecraft. The attitude prediction accuracy is greatly improved by adding the unmodeled environmental torque to the dynamic equation. Specifically, the environmental torque extraction algorithm based on extended Kalman filter and series extended state observer is introduced, and the unmodeled part of dynamic is identified through the inverse dynamic model. Then, the collected data are analyzed and trained by a backpropagation neural network, resulting in an attitude-torque mapping network with compensation ability. The simulation results show that the proposed feedback attitude prediction algorithm can outperform standard methods and provide a high accurate picture of prediction and reliability with discontinuous measurement.https://spj.science.org/doi/10.34133/space.0009 |
| spellingShingle | Zibin Sun Jules Simo Shengping Gong Satellite Attitude Identification and Prediction Based on Neural Network Compensation Space: Science & Technology |
| title | Satellite Attitude Identification and Prediction Based on Neural Network Compensation |
| title_full | Satellite Attitude Identification and Prediction Based on Neural Network Compensation |
| title_fullStr | Satellite Attitude Identification and Prediction Based on Neural Network Compensation |
| title_full_unstemmed | Satellite Attitude Identification and Prediction Based on Neural Network Compensation |
| title_short | Satellite Attitude Identification and Prediction Based on Neural Network Compensation |
| title_sort | satellite attitude identification and prediction based on neural network compensation |
| url | https://spj.science.org/doi/10.34133/space.0009 |
| work_keys_str_mv | AT zibinsun satelliteattitudeidentificationandpredictionbasedonneuralnetworkcompensation AT julessimo satelliteattitudeidentificationandpredictionbasedonneuralnetworkcompensation AT shengpinggong satelliteattitudeidentificationandpredictionbasedonneuralnetworkcompensation |