Autonomous Phase Control Combining EKF and Adaptive Neural Network for Remote Sensing Satellites
In this paper, a novel, effective, and feasible autonomous phase control algorithm based on the extended Kalman filtering (EKF) and neural network is firstly developed for addressing the problems of configuration maintenance of remote sensing satellite constellation. A balanced moment arm optimizati...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/7153667 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849473336492425216 |
|---|---|
| author | Xin Wang Guogang Wang Hongru Zheng |
| author_facet | Xin Wang Guogang Wang Hongru Zheng |
| author_sort | Xin Wang |
| collection | DOAJ |
| description | In this paper, a novel, effective, and feasible autonomous phase control algorithm based on the extended Kalman filtering (EKF) and neural network is firstly developed for addressing the problems of configuration maintenance of remote sensing satellite constellation. A balanced moment arm optimization method is employed to design the installation structure layout of the chemical propulsion system in the satellite. On that basis, an autonomous orbit control strategy is presented for controlling the phase of satellites, and the EKF algorithm is utilized to determine the orbit used to calculate the satellite phase. A radial basis function (RBF) neural network-based attitude control method is proposed to solve the attitude disturbance problem in the course of the phase control, and the RBF neural network is utilized to approximate the coupling torque of the orbit control. The simulation results demonstrate the feasibility of the designed automatic phase control strategy of the satellite. |
| format | Article |
| id | doaj-art-c8d7554f2b394598ab8daec81e3d7c59 |
| institution | Kabale University |
| issn | 1687-5974 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-c8d7554f2b394598ab8daec81e3d7c592025-08-20T03:24:11ZengWileyInternational Journal of Aerospace Engineering1687-59742022-01-01202210.1155/2022/7153667Autonomous Phase Control Combining EKF and Adaptive Neural Network for Remote Sensing SatellitesXin Wang0Guogang Wang1Hongru Zheng2School of Petrochemical TechnologySchool of Information and Control EngineeringLaboratory of Attitude and Orbit ControlIn this paper, a novel, effective, and feasible autonomous phase control algorithm based on the extended Kalman filtering (EKF) and neural network is firstly developed for addressing the problems of configuration maintenance of remote sensing satellite constellation. A balanced moment arm optimization method is employed to design the installation structure layout of the chemical propulsion system in the satellite. On that basis, an autonomous orbit control strategy is presented for controlling the phase of satellites, and the EKF algorithm is utilized to determine the orbit used to calculate the satellite phase. A radial basis function (RBF) neural network-based attitude control method is proposed to solve the attitude disturbance problem in the course of the phase control, and the RBF neural network is utilized to approximate the coupling torque of the orbit control. The simulation results demonstrate the feasibility of the designed automatic phase control strategy of the satellite.http://dx.doi.org/10.1155/2022/7153667 |
| spellingShingle | Xin Wang Guogang Wang Hongru Zheng Autonomous Phase Control Combining EKF and Adaptive Neural Network for Remote Sensing Satellites International Journal of Aerospace Engineering |
| title | Autonomous Phase Control Combining EKF and Adaptive Neural Network for Remote Sensing Satellites |
| title_full | Autonomous Phase Control Combining EKF and Adaptive Neural Network for Remote Sensing Satellites |
| title_fullStr | Autonomous Phase Control Combining EKF and Adaptive Neural Network for Remote Sensing Satellites |
| title_full_unstemmed | Autonomous Phase Control Combining EKF and Adaptive Neural Network for Remote Sensing Satellites |
| title_short | Autonomous Phase Control Combining EKF and Adaptive Neural Network for Remote Sensing Satellites |
| title_sort | autonomous phase control combining ekf and adaptive neural network for remote sensing satellites |
| url | http://dx.doi.org/10.1155/2022/7153667 |
| work_keys_str_mv | AT xinwang autonomousphasecontrolcombiningekfandadaptiveneuralnetworkforremotesensingsatellites AT guogangwang autonomousphasecontrolcombiningekfandadaptiveneuralnetworkforremotesensingsatellites AT hongruzheng autonomousphasecontrolcombiningekfandadaptiveneuralnetworkforremotesensingsatellites |