Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer
In order to improve the accuracy of the dynamical model used in the orbit determination of the Lagrangian navigation satellites, the nonlinear perturbations acting on Lagrangian navigation satellites are estimated by a neural network. A neural network based state observer is applied to autonomously...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/9734164 |
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| _version_ | 1832554147750084608 |
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| author | Youtao Gao Tanran Zhao Bingyu Jin Junkang Chen Bo Xu |
| author_facet | Youtao Gao Tanran Zhao Bingyu Jin Junkang Chen Bo Xu |
| author_sort | Youtao Gao |
| collection | DOAJ |
| description | In order to improve the accuracy of the dynamical model used in the orbit determination of the Lagrangian navigation satellites, the nonlinear perturbations acting on Lagrangian navigation satellites are estimated by a neural network. A neural network based state observer is applied to autonomously determine the orbits of Lagrangian navigation satellites using only satellite-to-satellite range. This autonomous orbit determination method does not require linearizing the dynamical mode. There is no need to calculate the transition matrix. It is proved that three satellite-to-satellite ranges are needed using this method; therefore, the navigation constellation should include four Lagrangian navigation satellites at least. Four satellites orbiting on the collinear libration orbits are chosen to construct a constellation which is used to demonstrate the utility of this method. Simulation results illustrate that the stable error of autonomous orbit determination is about 10 m. The perturbation can be estimated by the neural network. |
| format | Article |
| id | doaj-art-5367085abbd945f5879ba27334b1a109 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-5367085abbd945f5879ba27334b1a1092025-02-03T05:52:15ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742017-01-01201710.1155/2017/97341649734164Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State ObserverYoutao Gao0Tanran Zhao1Bingyu Jin2Junkang Chen3Bo Xu4College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaCollege of Astronomy and Space Science, Nanjing University, Nanjing, ChinaIn order to improve the accuracy of the dynamical model used in the orbit determination of the Lagrangian navigation satellites, the nonlinear perturbations acting on Lagrangian navigation satellites are estimated by a neural network. A neural network based state observer is applied to autonomously determine the orbits of Lagrangian navigation satellites using only satellite-to-satellite range. This autonomous orbit determination method does not require linearizing the dynamical mode. There is no need to calculate the transition matrix. It is proved that three satellite-to-satellite ranges are needed using this method; therefore, the navigation constellation should include four Lagrangian navigation satellites at least. Four satellites orbiting on the collinear libration orbits are chosen to construct a constellation which is used to demonstrate the utility of this method. Simulation results illustrate that the stable error of autonomous orbit determination is about 10 m. The perturbation can be estimated by the neural network.http://dx.doi.org/10.1155/2017/9734164 |
| spellingShingle | Youtao Gao Tanran Zhao Bingyu Jin Junkang Chen Bo Xu Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer International Journal of Aerospace Engineering |
| title | Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer |
| title_full | Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer |
| title_fullStr | Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer |
| title_full_unstemmed | Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer |
| title_short | Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer |
| title_sort | autonomous orbit determination for lagrangian navigation satellite based on neural network based state observer |
| url | http://dx.doi.org/10.1155/2017/9734164 |
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