Artificial Potential Field-Based Multi-UAV Formation Control and Target Tracking
To simultaneously achieve space formation flight and target tracking of multiple unmanned aerial vehicles (UAVs) and solve the rotation buffeting problem of the UAV, a robust formation control and target tracking algorithm is proposed. The artificial potential function consisting of formation contro...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/4253558 |
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| _version_ | 1832554745583108096 |
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| author | He Song Shaolin Hu Wenqiang Jiang Qiliang Guo Ming Zhu |
| author_facet | He Song Shaolin Hu Wenqiang Jiang Qiliang Guo Ming Zhu |
| author_sort | He Song |
| collection | DOAJ |
| description | To simultaneously achieve space formation flight and target tracking of multiple unmanned aerial vehicles (UAVs) and solve the rotation buffeting problem of the UAV, a robust formation control and target tracking algorithm is proposed. The artificial potential function consisting of formation control term and target tracking term is established, and its convergence is proved. The sliding mode control method with the saturation function is established, and a sufficient condition for sliding mode to occur is analysed. Finally, the numerical simulation is conducted for the proposed algorithm, and the simulation result is analysed. The results show that the proposed algorithm can quickly achieve the formation flight and target tracking of multi-UAVs and improve the tracking performance; meanwhile, it can effectively weaken the rotation buffeting and improve the robustness. |
| format | Article |
| id | doaj-art-049af44c41874277937c64ef739bc0ab |
| 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-049af44c41874277937c64ef739bc0ab2025-02-03T05:50:39ZengWileyInternational Journal of Aerospace Engineering1687-59742022-01-01202210.1155/2022/4253558Artificial Potential Field-Based Multi-UAV Formation Control and Target TrackingHe Song0Shaolin Hu1Wenqiang Jiang2Qiliang Guo3Ming Zhu4School of Automation and Information EngineeringSchool of Automation and Information EngineeringSchool of Automation and Information EngineeringSchool of Automation and Information EngineeringWuxi Kunlun Fuji Instruments Co.To simultaneously achieve space formation flight and target tracking of multiple unmanned aerial vehicles (UAVs) and solve the rotation buffeting problem of the UAV, a robust formation control and target tracking algorithm is proposed. The artificial potential function consisting of formation control term and target tracking term is established, and its convergence is proved. The sliding mode control method with the saturation function is established, and a sufficient condition for sliding mode to occur is analysed. Finally, the numerical simulation is conducted for the proposed algorithm, and the simulation result is analysed. The results show that the proposed algorithm can quickly achieve the formation flight and target tracking of multi-UAVs and improve the tracking performance; meanwhile, it can effectively weaken the rotation buffeting and improve the robustness.http://dx.doi.org/10.1155/2022/4253558 |
| spellingShingle | He Song Shaolin Hu Wenqiang Jiang Qiliang Guo Ming Zhu Artificial Potential Field-Based Multi-UAV Formation Control and Target Tracking International Journal of Aerospace Engineering |
| title | Artificial Potential Field-Based Multi-UAV Formation Control and Target Tracking |
| title_full | Artificial Potential Field-Based Multi-UAV Formation Control and Target Tracking |
| title_fullStr | Artificial Potential Field-Based Multi-UAV Formation Control and Target Tracking |
| title_full_unstemmed | Artificial Potential Field-Based Multi-UAV Formation Control and Target Tracking |
| title_short | Artificial Potential Field-Based Multi-UAV Formation Control and Target Tracking |
| title_sort | artificial potential field based multi uav formation control and target tracking |
| url | http://dx.doi.org/10.1155/2022/4253558 |
| work_keys_str_mv | AT hesong artificialpotentialfieldbasedmultiuavformationcontrolandtargettracking AT shaolinhu artificialpotentialfieldbasedmultiuavformationcontrolandtargettracking AT wenqiangjiang artificialpotentialfieldbasedmultiuavformationcontrolandtargettracking AT qiliangguo artificialpotentialfieldbasedmultiuavformationcontrolandtargettracking AT mingzhu artificialpotentialfieldbasedmultiuavformationcontrolandtargettracking |