仿鸟群自推进机制的无人机集群相变控制

段海滨; 尤灵辰; 范彦铭; 李明

doi:10.16383/j.aas.c240598

仿鸟群自推进机制的无人机集群相变控制

doi: 10.16383/j.aas.c240598 cstr: 32138.14.j.aas.c240598

1.
北京航空航天大学自动化科学与电气工程学院飞行器一体化控制全国重点实验室北京 100083
2.
中国航空工业集团公司沈阳飞机设计研究所沈阳 110035

基金项目: 国家自然科学基金 (62350048, 624B2013, T2121003, U20B2071)资助

详细信息

作者简介:
段海滨：北京航空航天大学自动化科学与电气工程学院教授. 主要研究方向为无人机集群仿生自主飞行控制. 本文通信作者. E-mail: hbduan@buaa.edu.cn

尤灵辰：北京航空航天大学自动化科学与电气工程学院博士研究生. 主要研究方向为仿生集群自主飞行控制. E-mail: lcyou@buaa.edu.cn

范彦铭：中国航空工业集团公司沈阳飞机设计研究所专业领域首席专家. 主要研究方向为先进飞行控制技术研究与系统研制. E-mail: michaelfan@yeah.net

李明：中国工程院院士, 中国航空工业集团公司沈阳飞机设计研究所首席专家. 主要研究方向为飞机自动化, 无人机自主飞行控制. E-mail: mingli@mail.sy.ln.cn

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出版历程
- 收稿日期: 2024-08-28
- 录用日期: 2024-12-23
- 网络出版日期: 2025-02-26
- 刊出日期: 2025-05-20

Phase Transition Control of UAV Swarm Based on Bird-inspired Self-propelled Mechanism

1.
National Key Laboratory of Aircraft Integrated Flight Control, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100083
2.
Shenyang Aircraft Design and Research Institute, Aviation Industry Corporation of China, Shenyang 110035

Funds: Supported by National Natural Science Foundation of China (62350048, 624B2013, T2121003, U20B2071)

More Information

Author Bio:
DUAN Hai-Bin　Professor at the School of Automation Science and Electrical Engineering, Beihang University. His research interest covers the biologically autonomous flight control of unmanned aerial vehicle swarms. Corresponding author of this paper

YOU Ling-Chen　Ph.D. candidate at the School of Automation Science and Electrical Engineering, Beihang University. His research interest covers the biologically autonomous flight control

FAN Yan-Ming　Chief expert in the professional field at Shenyang Aircraft Design and Research Institute, Aviation Industry Corporation of China. His research interest covers the study and system development of advanced flight control technology

LI Ming　Academician of the Chinese Academy of Engineering, and chief expert at Shenyang Aircraft Design and Research Institute, Aviation Industry Corporation of China. His research interest covers aircraft automation and autonomous flight control of unmanned aerial vehicles

摘要

摘要: 针对无人机集群的运动相态转换问题, 提出一种仿鸟群自推进粒子模型的无人机集群相变控制方法. 首先, 从鸟群运动行为中获得启发, 通过设计速度保持项和势能梯度项构建仿鸟群运动模型, 并设计相变控制项模拟巢穴对鸟群的吸引, 以实现集群在不同相态之间的转换. 然后, 讨论集群在设计的相变控制律作用下的运动相态, 证明无人机集群能够实现两种稳定的运动相态并进行相互转换. 最后, 仿真验证了集群存在的两种稳定运动构型, 所提出相变控制律能够实现两种集群运动相态的互相转换.
- 无人机集群 /
- 相变控制 /
- 自组织 /
- 自推进粒子
Abstract: A phase transition control method for unmanned aerial vehicle (UAV) swarms based on the bird-inspired self-propelled particle model has been proposed to address the problem of motion phase transition of UAV swarms. Firstly, inspired from bird flock behavior, a bird-like motion model is constructed by designing a velocity maintenance term and a potential gradient term, and a phase transition control term is designed to simulate the attraction of the nest to the flock to achieve transition between different phases. Subsequently, the motion modalities of the swarm under the designed phase transition control law were discussed, demonstrating that the UAV swarm is capable of achieving two stable motion phases and reversible transition between them. Ultimately, simulations proved the existence of two stable motion phases within the swarm, and the proposed phase transition control protocol was validated to enable mutual transitions between the two motion phases.
- Unmanned aerial vehicle swarm /
- phase transition control /
- self-organization /
- self-propelled particles

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图 1 涡旋半径计算示意图

Fig. 1 Illustration for calculating the radius of milling phase

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图 2 集群涡旋相态转变

Fig. 2 Milling phase transition for the swarm

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图 3 涡旋相形成过程中的序参量变化情况

Fig. 3 Variation of order parameters during milling phase formation

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图 4 单个无人机状态参数变化

Fig. 4 Variation of state parameters for a single UAV

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图 5 集群涡旋半径随平衡距离d的变化

Fig. 5 Variation of swarm milling radius with the equilibrium distance $d $

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图 6 相变仿真流程图

Fig. 6 Flowchart of phase transition simulation

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图 7 集群相态转换结果

Fig. 7 Results of swarm phase transition

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图 8 集群中心速度随时间的变化

Fig. 8 Time-varying velocity of the swarm center

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图 9 文献[33]模型的集群相态转换结果

Fig. 9 Results of swarm phase transition using model in [33]

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