基于改进人工势场的无人机避碰协同编队控制设计

Jialong Zhang, Jianguo Yan, D. Yuan, X. Hou
{"title":"基于改进人工势场的无人机避碰协同编队控制设计","authors":"Jialong Zhang, Jianguo Yan, D. Yuan, X. Hou","doi":"10.1109/CCDC.2018.8408198","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that the collision avoidance process of the UVA is the existence of local minima by using the artificial potential field method, a compound vector artificial potential field method is proposed based on the virtual structure and the leader-follower control strategy in the three-dimensional space, which can avoid the obstacle effectively and then track the motion target. The attractive force of the artificial potential field can guide the virtual leader to track the target. At the same time, the follower tracks the leader to keep the formation flight. The effect of the repulsive force can avoid the collision between any two UAVs and arrange the followers evenly distributed on the spherical surface. Moreover, the follower's specific order and position are not required. The collision path of the UAV formation depends on the artificial potential field with the two composite vectors, every UAV can choose the optimal path to avoid the obstacle and reconfigure the regular triangle formation flight after passing the obstacle. The simulation experiment verifies the validity and feasibility of the proposed the collision avoidance control algorithm and provides an idea for the collision avoidance of the Multi-UAV formation.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"The UAV cooperative formation control design with collision avoidance based on improved artificial potential field\",\"authors\":\"Jialong Zhang, Jianguo Yan, D. Yuan, X. Hou\",\"doi\":\"10.1109/CCDC.2018.8408198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problem that the collision avoidance process of the UVA is the existence of local minima by using the artificial potential field method, a compound vector artificial potential field method is proposed based on the virtual structure and the leader-follower control strategy in the three-dimensional space, which can avoid the obstacle effectively and then track the motion target. The attractive force of the artificial potential field can guide the virtual leader to track the target. At the same time, the follower tracks the leader to keep the formation flight. The effect of the repulsive force can avoid the collision between any two UAVs and arrange the followers evenly distributed on the spherical surface. Moreover, the follower's specific order and position are not required. The collision path of the UAV formation depends on the artificial potential field with the two composite vectors, every UAV can choose the optimal path to avoid the obstacle and reconfigure the regular triangle formation flight after passing the obstacle. The simulation experiment verifies the validity and feasibility of the proposed the collision avoidance control algorithm and provides an idea for the collision avoidance of the Multi-UAV formation.\",\"PeriodicalId\":409960,\"journal\":{\"name\":\"2018 Chinese Control And Decision Conference (CCDC)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Chinese Control And Decision Conference (CCDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2018.8408198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2018.8408198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

针对人工势场方法在UVA避碰过程中存在局部极小值的问题,提出了一种基于虚拟结构和三维空间leader-follower控制策略的复合矢量人工势场方法,该方法可以有效地避开障碍物并跟踪运动目标。人工势场的吸引力可以引导虚拟领导者跟踪目标。与此同时,follower跟踪leader保持编队飞行。斥力的作用可以避免任意两架无人机之间的碰撞,并使跟踪器均匀分布在球面上。此外,也不需要追随者的具体顺序和位置。无人机编队的碰撞路径依赖于两个复合向量的人工势场,每架无人机都可以选择最优路径避开障碍物,并在通过障碍物后重新配置正三角形编队飞行。仿真实验验证了所提避碰控制算法的有效性和可行性,为多无人机编队避碰提供了思路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The UAV cooperative formation control design with collision avoidance based on improved artificial potential field
Aiming at the problem that the collision avoidance process of the UVA is the existence of local minima by using the artificial potential field method, a compound vector artificial potential field method is proposed based on the virtual structure and the leader-follower control strategy in the three-dimensional space, which can avoid the obstacle effectively and then track the motion target. The attractive force of the artificial potential field can guide the virtual leader to track the target. At the same time, the follower tracks the leader to keep the formation flight. The effect of the repulsive force can avoid the collision between any two UAVs and arrange the followers evenly distributed on the spherical surface. Moreover, the follower's specific order and position are not required. The collision path of the UAV formation depends on the artificial potential field with the two composite vectors, every UAV can choose the optimal path to avoid the obstacle and reconfigure the regular triangle formation flight after passing the obstacle. The simulation experiment verifies the validity and feasibility of the proposed the collision avoidance control algorithm and provides an idea for the collision avoidance of the Multi-UAV formation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信