Finite-Time Bearing-Based Formation Maneuver Control of Fixed-Wing Uavs for Dynamic Target Enclosing

Yang Xu; Yangyang Zhai; Kai Zhang

doi:10.1109/RICAI60863.2023.10489792

Finite-Time Bearing-Based Formation Maneuver Control of Fixed-Wing Uavs for Dynamic Target Enclosing

Yang Xu, Yangyang Zhai, Kai Zhang

School of Civil Aviation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a bearing-based formation maneuver control scheme for multiple fixed-wing UAV s, which comprises the distributed finite-time estimators and tracking controllers, i.e., and its application in target enclosing. The desired attitude can be obtained within a finite time by a distributed finite-time attitude observer. Then, by designing the tracking control laws, all error signals in the control system can converge, and all UAVs in the formation can track the target and do an enclosing. Meanwhile, a second derivative approximator is proposed to deal with calculating derivatives for variables. Finally, simulations prove the feasibility of the proposed control scheme.

Original language	English
Title of host publication	2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	304-310
Number of pages	7
ISBN (Electronic)	9798350357950
DOIs	https://doi.org/10.1109/RICAI60863.2023.10489792
State	Published - 2023
Event	5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023 - Hangzhou, China Duration: 1 Dec 2023 → 3 Dec 2023

Publication series

Name	2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023

Conference

Conference	5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023
Country/Territory	China
City	Hangzhou
Period	1/12/23 → 3/12/23

Keywords

Bearing-based formation maneuver control
finite-time control
fixed-wing UAVs

Access to Document

10.1109/RICAI60863.2023.10489792

Cite this

Xu, Y., Zhai, Y., & Zhang, K. (2023). Finite-Time Bearing-Based Formation Maneuver Control of Fixed-Wing Uavs for Dynamic Target Enclosing. In 2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023 (pp. 304-310). (2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RICAI60863.2023.10489792

Xu, Yang ; Zhai, Yangyang ; Zhang, Kai. / Finite-Time Bearing-Based Formation Maneuver Control of Fixed-Wing Uavs for Dynamic Target Enclosing. 2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 304-310 (2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023).

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title = "Finite-Time Bearing-Based Formation Maneuver Control of Fixed-Wing Uavs for Dynamic Target Enclosing",

abstract = "This paper proposes a bearing-based formation maneuver control scheme for multiple fixed-wing UAV s, which comprises the distributed finite-time estimators and tracking controllers, i.e., and its application in target enclosing. The desired attitude can be obtained within a finite time by a distributed finite-time attitude observer. Then, by designing the tracking control laws, all error signals in the control system can converge, and all UAVs in the formation can track the target and do an enclosing. Meanwhile, a second derivative approximator is proposed to deal with calculating derivatives for variables. Finally, simulations prove the feasibility of the proposed control scheme.",

keywords = "Bearing-based formation maneuver control, finite-time control, fixed-wing UAVs",

author = "Yang Xu and Yangyang Zhai and Kai Zhang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023 ; Conference date: 01-12-2023 Through 03-12-2023",

year = "2023",

doi = "10.1109/RICAI60863.2023.10489792",

language = "英语",

series = "2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Xu, Y, Zhai, Y & Zhang, K 2023, Finite-Time Bearing-Based Formation Maneuver Control of Fixed-Wing Uavs for Dynamic Target Enclosing. in 2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023. 2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023, Institute of Electrical and Electronics Engineers Inc., pp. 304-310, 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023, Hangzhou, China, 1/12/23. https://doi.org/10.1109/RICAI60863.2023.10489792

Finite-Time Bearing-Based Formation Maneuver Control of Fixed-Wing Uavs for Dynamic Target Enclosing. / Xu, Yang; Zhai, Yangyang; Zhang, Kai.
2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 304-310 (2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhai, Yangyang

AU - Zhang, Kai

PY - 2023

Y1 - 2023

N2 - This paper proposes a bearing-based formation maneuver control scheme for multiple fixed-wing UAV s, which comprises the distributed finite-time estimators and tracking controllers, i.e., and its application in target enclosing. The desired attitude can be obtained within a finite time by a distributed finite-time attitude observer. Then, by designing the tracking control laws, all error signals in the control system can converge, and all UAVs in the formation can track the target and do an enclosing. Meanwhile, a second derivative approximator is proposed to deal with calculating derivatives for variables. Finally, simulations prove the feasibility of the proposed control scheme.

AB - This paper proposes a bearing-based formation maneuver control scheme for multiple fixed-wing UAV s, which comprises the distributed finite-time estimators and tracking controllers, i.e., and its application in target enclosing. The desired attitude can be obtained within a finite time by a distributed finite-time attitude observer. Then, by designing the tracking control laws, all error signals in the control system can converge, and all UAVs in the formation can track the target and do an enclosing. Meanwhile, a second derivative approximator is proposed to deal with calculating derivatives for variables. Finally, simulations prove the feasibility of the proposed control scheme.

KW - Bearing-based formation maneuver control

KW - finite-time control

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BT - 2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 1 December 2023 through 3 December 2023

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Xu Y, Zhai Y, Zhang K. Finite-Time Bearing-Based Formation Maneuver Control of Fixed-Wing Uavs for Dynamic Target Enclosing. In 2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 304-310. (2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023). doi: 10.1109/RICAI60863.2023.10489792

Finite-Time Bearing-Based Formation Maneuver Control of Fixed-Wing Uavs for Dynamic Target Enclosing

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