主管单位:中华人民共和国工业和信息化部
主办单位:西北工业大学  中国航空学会
地       址:西北工业大学友谊校区航空楼
基于领导跟随策略的一致性编队避障控制研究
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作者单位:

1.电子科技大学;2.中国空气动力研究与发展中心

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中图分类号:

V249

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Obstacle Avoidance Control of Consensus Formation Based on Leader-Following Strategy
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Affiliation:

1.University of Electronic Science and Technology of China;2.China Aerodynamics Research and Development Center

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    摘要:

    避障飞行是复杂环境中无人机集群编队飞行需要解决的重要问题。为实现无人机集群编队高效可靠的避障飞行,基于分布式领导跟随一致性控制策略,将无人机集群分为负责路径规划的领导者和负责编队控制的跟随者。针对包含动态障碍物的复杂环境,提出一种改进RRT*路径规划算法,为无人机集群提供实时规划路径。基于反步控制方法,将编队一致性协议作为误差,发展根据周围环境动态调整编队队形间距的分布式编队飞行控制律。通过构建三种不同复杂度的障碍物环境对编队避障算法进行验证,结果表明:本文方法能依据环境变化快速生成可行的编队飞行路径,实现无人机集群可变间距编队飞行的精准控制,达到无人机集群编队高效避障的目的。

    Abstract:

    Obstacle avoidance flight is an important problem to be solved in cluster formation flight of UAV in complex battlefield environment. In order to achieve efficient and reliable obstacle avoidance flight, based on the distributed leader-following consensus control strategy, the UAV cluster is divided into the leader in charge of path planning and the follower responsible for formation control. An improved RRT* path planning algorithm is proposed to provide real-time path planning for the UAV cluster in complex environments with dynamic obstacles. Based on the backstepping control method and taking the formation consensus protocol as the error, a distributed formation flight control law is developed to dynamically adjust the formation spacing according to the environment. By constructing three kinds of obstacle environments with different complexity to validate the formation obstacle avoidance algorithm, simulation results show that the proposed approach may generate feasible formation flight paths rapidly corresponding to the environment changes, and realize the accurate control of variable spacing formation flight of UAV cluster, which achieves the goal of efficient obstacle avoidance for the cluster formation flight.

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历史
  • 收稿日期:2024-03-26
  • 最后修改日期:2024-07-07
  • 录用日期:2024-07-16
  • 在线发布日期: 2025-04-03
  • 出版日期: