Application of the Improved Grey Wolf Algorithm in Spacecraft Maneuvering Path Planning
In many space missions, spacecraft are required to have the ability to avoid various obstacles and finally reach the target point. In this paper, the path planning of spacecraft attitude maneuver under boundary constraints and pointing constraints is studied. The boundary constraints and orientation...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/8857584 |
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| author | Changqing Wu Xiaodong Han Weiyu An Jianglei Gong Nan Xu |
| author_facet | Changqing Wu Xiaodong Han Weiyu An Jianglei Gong Nan Xu |
| author_sort | Changqing Wu |
| collection | DOAJ |
| description | In many space missions, spacecraft are required to have the ability to avoid various obstacles and finally reach the target point. In this paper, the path planning of spacecraft attitude maneuver under boundary constraints and pointing constraints is studied. The boundary constraints and orientation constraints are constructed as finite functions of path evaluation. From the point of view of optimal time and shortest path, the constrained attitude maneuver problem is reduced to optimal time and path solving problem. To address this problem, a metaheuristic maneuver path planning method is proposed (cross-mutation grey wolf algorithm (CMGWO)). In the CMGWO method, we use angular velocity and control torque coding to model attitude maneuver, which increases the difficulty of solving the problem. In order to deal with this problem, the grey wolf algorithm is used for mutation and evolution, so as to reduce the difficulty of solving the problem and shorten the convergence time. Finally, simulation analysis is carried out under different conditions, and the feasibility and effectiveness of the method are verified by numerical simulation. |
| format | Article |
| id | doaj-art-21bac2fe6c3042e082471ecd9364d7d3 |
| 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-21bac2fe6c3042e082471ecd9364d7d32025-02-03T06:05:31ZengWileyInternational Journal of Aerospace Engineering1687-59742022-01-01202210.1155/2022/8857584Application of the Improved Grey Wolf Algorithm in Spacecraft Maneuvering Path PlanningChangqing Wu0Xiaodong Han1Weiyu An2Jianglei Gong3Nan Xu4Institute of Telecommunication SatelliteInstitute of Telecommunication SatelliteInstitute of Telecommunication SatelliteInstitute of Telecommunication SatelliteInstitute of Telecommunication SatelliteIn many space missions, spacecraft are required to have the ability to avoid various obstacles and finally reach the target point. In this paper, the path planning of spacecraft attitude maneuver under boundary constraints and pointing constraints is studied. The boundary constraints and orientation constraints are constructed as finite functions of path evaluation. From the point of view of optimal time and shortest path, the constrained attitude maneuver problem is reduced to optimal time and path solving problem. To address this problem, a metaheuristic maneuver path planning method is proposed (cross-mutation grey wolf algorithm (CMGWO)). In the CMGWO method, we use angular velocity and control torque coding to model attitude maneuver, which increases the difficulty of solving the problem. In order to deal with this problem, the grey wolf algorithm is used for mutation and evolution, so as to reduce the difficulty of solving the problem and shorten the convergence time. Finally, simulation analysis is carried out under different conditions, and the feasibility and effectiveness of the method are verified by numerical simulation.http://dx.doi.org/10.1155/2022/8857584 |
| spellingShingle | Changqing Wu Xiaodong Han Weiyu An Jianglei Gong Nan Xu Application of the Improved Grey Wolf Algorithm in Spacecraft Maneuvering Path Planning International Journal of Aerospace Engineering |
| title | Application of the Improved Grey Wolf Algorithm in Spacecraft Maneuvering Path Planning |
| title_full | Application of the Improved Grey Wolf Algorithm in Spacecraft Maneuvering Path Planning |
| title_fullStr | Application of the Improved Grey Wolf Algorithm in Spacecraft Maneuvering Path Planning |
| title_full_unstemmed | Application of the Improved Grey Wolf Algorithm in Spacecraft Maneuvering Path Planning |
| title_short | Application of the Improved Grey Wolf Algorithm in Spacecraft Maneuvering Path Planning |
| title_sort | application of the improved grey wolf algorithm in spacecraft maneuvering path planning |
| url | http://dx.doi.org/10.1155/2022/8857584 |
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