Prescribed Performance Rotating Formation Control of Multi-Spacecraft Systems with Uncertainties
This paper investigates the problem of rotating formation control for multi-spacecraft systems with prescribed performance in the presence of model uncertainties. Firstly, The spacecraft dynamics containing unmodelled parts is described in a polar coordinate system, which is to solve the problem of...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/6/11/348 |
| _version_ | 1797468605435084800 |
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| author | Yan Liu Kaiyu Qin Weihao Li Mengji Shi Boxian Lin Lu Cao |
| author_facet | Yan Liu Kaiyu Qin Weihao Li Mengji Shi Boxian Lin Lu Cao |
| author_sort | Yan Liu |
| collection | DOAJ |
| description | This paper investigates the problem of rotating formation control for multi-spacecraft systems with prescribed performance in the presence of model uncertainties. Firstly, The spacecraft dynamics containing unmodelled parts is described in a polar coordinate system, which is to solve the problem of the controllable angular velocity of rotating formation. Then, the prescribed performance control method is improved by developing new prescribed performance functions. Based on the improved prescribed performance control method, the distributed controller is designed for multi-spacecraft systems to achieve rotating formations with prescribed performance, i.e., the formations error converges to a predefined arbitrarily small residual set, with convergence time no less than a prespecified value. And an RBF neural network is used to fit the unmodelled components of the spacecraft dynamics. Compared with the existing works of literature, this paper not only solves the robust prescribed performance rotating formation control of multi-spacecraft system, but also acheives rotating formation with adjustable angular velocity. Finally, the Lyapunov approach is employed for convergence analysis, and simulation results are provided to illustrate the effectiveness of the theoretical results. |
| first_indexed | 2024-03-09T19:08:50Z |
| format | Article |
| id | doaj.art-dd703e1aae2b42579bbb93ca87da49c5 |
| institution | Directory Open Access Journal |
| issn | 2504-446X |
| language | English |
| last_indexed | 2024-03-09T19:08:50Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj.art-dd703e1aae2b42579bbb93ca87da49c52023-11-24T04:22:15ZengMDPI AGDrones2504-446X2022-11-0161134810.3390/drones6110348Prescribed Performance Rotating Formation Control of Multi-Spacecraft Systems with UncertaintiesYan Liu0Kaiyu Qin1Weihao Li2Mengji Shi3Boxian Lin4Lu Cao5School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, ChinaNational Innovation Institute of Defense Technology, Chinese Academy of Military Science, Beijing 100071, ChinaThis paper investigates the problem of rotating formation control for multi-spacecraft systems with prescribed performance in the presence of model uncertainties. Firstly, The spacecraft dynamics containing unmodelled parts is described in a polar coordinate system, which is to solve the problem of the controllable angular velocity of rotating formation. Then, the prescribed performance control method is improved by developing new prescribed performance functions. Based on the improved prescribed performance control method, the distributed controller is designed for multi-spacecraft systems to achieve rotating formations with prescribed performance, i.e., the formations error converges to a predefined arbitrarily small residual set, with convergence time no less than a prespecified value. And an RBF neural network is used to fit the unmodelled components of the spacecraft dynamics. Compared with the existing works of literature, this paper not only solves the robust prescribed performance rotating formation control of multi-spacecraft system, but also acheives rotating formation with adjustable angular velocity. Finally, the Lyapunov approach is employed for convergence analysis, and simulation results are provided to illustrate the effectiveness of the theoretical results.https://www.mdpi.com/2504-446X/6/11/348rotating formationleader-followingfinit-time controlprescribed performance controlcontrollable angular velocity |
| spellingShingle | Yan Liu Kaiyu Qin Weihao Li Mengji Shi Boxian Lin Lu Cao Prescribed Performance Rotating Formation Control of Multi-Spacecraft Systems with Uncertainties Drones rotating formation leader-following finit-time control prescribed performance control controllable angular velocity |
| title | Prescribed Performance Rotating Formation Control of Multi-Spacecraft Systems with Uncertainties |
| title_full | Prescribed Performance Rotating Formation Control of Multi-Spacecraft Systems with Uncertainties |
| title_fullStr | Prescribed Performance Rotating Formation Control of Multi-Spacecraft Systems with Uncertainties |
| title_full_unstemmed | Prescribed Performance Rotating Formation Control of Multi-Spacecraft Systems with Uncertainties |
| title_short | Prescribed Performance Rotating Formation Control of Multi-Spacecraft Systems with Uncertainties |
| title_sort | prescribed performance rotating formation control of multi spacecraft systems with uncertainties |
| topic | rotating formation leader-following finit-time control prescribed performance control controllable angular velocity |
| url | https://www.mdpi.com/2504-446X/6/11/348 |
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