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多无人机编队避障和编队重构方法

穆凌霞1,周政君1,王斑2,张友民3,薛向宏1,宁凯凯1   

  1. 1.复杂系统控制与智能信息处理陕西省重点实验室(西安理工大学) 2. 西北工业大学 航空学院, 3. 康考迪亚大学 机械、工业与航空工程系
  • 收稿日期:2023-09-28 修回日期:2023-12-02 发布日期:2024-03-15 出版日期:2024-03-15
  • 通讯作者: 王斑
  • 作者简介:穆凌霞(1988—),女,江苏盐城人,副教授,博士,主要研究方向:自主轨迹规划、制导与控制方法;周政君(2000—),甘肃兰州人,男,硕士研究生,主要研究方向:多机编队轨迹规划及控制方法;王斑(1989—),男,山东烟台人,副教授,博士,主要研究方向:飞行器容错控制。
  • 基金资助:
    国家自然科学基金资助项目(61833013);中国博士后科学基金资助项目(2022MD723834);陕西省科协青年人才托举计划项目(20210114);Natural Sciences and Engineering Research Council of Canada

Formation obstacle-avoidance and reconfiguration method for multiple UAVs

MU Lingxia1, ZHOU Zhengjun1, WANG Ban2, ZHANG Youmin3, XUE Xianghong1, NING Kaikai1   

  1. 1. Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing (Xi'an University of Technology) 2. School of Aeronautics, Northwestern Polytechnical University 3. Department of Mechanical, Industrial & Aerospace Engineering, Concordia University
  • Received:2023-09-28 Revised:2023-12-02 Online:2024-03-15 Published:2024-03-15
  • About author:MU Lingxia, born in 1988, Ph. D., associate professor. Her research interests include autonomous trajectory planning, guidance and control methods. ZHOU Zhengjun, born in 2000, M. S. candidate. His research interests include multi-aircraft formation trajectory planning and control methods. WANG Ban, born in 1989, Ph. D., associate professor. His research interests include fault-tolerant control of aircraft.
  • Supported by:
    National Natural Science Foundation of China (61833013), China Postdoctoral Science Foundation funded project (2022MD723834), Shaanxi Provincial Association for Science and Technology Youth Talent Promotion Program Project (20210114), Natural Sciences and Engineering Research Council of Canada

摘要: 针对多无人机(UAV)编队飞行过程中避障和故障问题,提出一种编队动态变换与重构方法。编队内无人机将障碍物和其余无人机作为动态威胁,根据当前飞行环境自适应地改变航迹评价函数得分权重,提高编队在动态环境下的避障能力;当编队中某一无人机故障时,对剩余无人机进行编队队形重构,改变动态窗口法目标函数中僚机相对于长机的位置,实时调整得到新的编队,从而实现容错编队飞行。仿真结果表明,所提出的编队避障和重构算法能够实现动态避障以及单机故障或动力不足情况下的容错编队飞行,同时与传统方法相比所得到的编队无人机间距离误差更低。

关键词: 无人机, 编队避障, 队形变换, 队形重构, 容错编队

Abstract: Aiming at the problems of obstacles and failures in multiple UAVs (Unmanned Aerial Vehicles) formation mission flight, a dynamic formation switching and reconfiguration method was proposed. For a certain UAV in the formation, the obstacles and other UAVs in formation were regarded as dynamic threats. By adaptively adjusting score weights considering different flying scenarios, the ability of the UAVs formation to avoid obstacles in dynamic environment was improved. In the case that one of the UAVs in the formation occurs faults, the remaining UAVs formation was reconfigured. By changing the position of the followers relative to the leader in the objective function of the dynamic window approach, a new formation without the fault UAV was reconfigured. By this means, fault-tolerant formation flight can be realized. Simulation results show that the proposed formation transformation and reconfiguration algorithm can realize dynamic obstacle avoidance and fault-tolerant formation flight in the case that the UAVs team cannot continue formation missions due to the fault or lack of power. At the same time, compared with the traditional method, the distance error between the formation UAVs is lower.

Key words: unmanned aerial vehicle, formation obstacle-avoidance, formation switching, formation reconfiguration, fault-tolerant formation

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