UAVs Formation Obstacle Avoidance Method Based on Improved Artificial Potentials and Virtual Leaders

被引:1
作者
Wen, Jiayun [1 ,2 ]
Tang, Qiang [1 ,2 ]
Zhang, Xianglun [1 ,2 ]
Li, Hao [1 ,2 ]
Yang, Yukun [1 ,2 ]
Ma, Shichao [1 ,2 ]
Li, Zhiyu [1 ,2 ]
机构
[1] AVIC Xian Flight Automat Control Res Inst, Xian 710076, Peoples R China
[2] Natl Key Lab Sci & Technol Aircraft Control, Xian 710076, Peoples R China
来源
ADVANCES IN GUIDANCE, NAVIGATION AND CONTROL, VOL 18 | 2025年 / 1354卷
关键词
Artificial Potentials; Virtual Leaders; Formation; Obstacle Avoidance; FOLLOWER FORMATION;
D O I
10.1007/978-981-96-2268-9_43
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To address the issue of obstacle avoidance during formation flight by Unmanned Aerial Vehicles (UAVs), a novel method that utilizes enhanced artificial potentials combined with virtual leaders has been introduced. Initially, the method generates dynamic target points for formation based on the predetermined flight formation and virtual leader positions. Subsequently, it devises suitable gravitational and repulsive functions, which include the gravitational pull towards the desired target points, the repulsive forces among formation UAVs, and the repulsive forces from obstacles onto the UAVs. These functions are designed to enable the UAVs to swiftly maneuver away from obstacle-affected regions while concurrently overcoming the limitations of the traditional artificial potential field (APF) approach, such as target inaccessibility and local minima issues. Experimental outcomes corroborate that the proposed formation obstacle avoidance approach successfully guides UAVs to navigate around pre-positioned obstacles while preserving formation integrity. Furthermore, the UAVs are capable of reconstituting their formation and executing formation shifts once the obstacles have been passed, thereby affirming the practicality and effectiveness of the method.
引用
收藏
页码:453 / 461
页数:9
相关论文
共 12 条
[1]   UAV Formation Control via the Virtual Structure Approach [J].
Askari, A. ;
Mortazavi, M. ;
Talebi, H. A. .
JOURNAL OF AEROSPACE ENGINEERING, 2015, 28 (01)
[2]   Behavior-based formation control for multirobot teams [J].
Balch, T ;
Arkin, RC .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1998, 14 (06) :926-939
[3]   Leader-follower formation control of underactuated autonomous underwater vehicles [J].
Cui, Rongxin ;
Ge, Shuzhi Sam ;
How, Bernard Voon Ee ;
Choo, Yoo Sang .
OCEAN ENGINEERING, 2010, 37 (17-18) :1491-1502
[5]   Decentralized behavior-based formation control of multiple robots considering obstacle avoidance [J].
Lee, Giroung ;
Chwa, Dongkyoung .
INTELLIGENT SERVICE ROBOTICS, 2018, 11 (01) :127-138
[6]   Leader-follower formation via complex Laplacian [J].
Lin, Zhiyun ;
Ding, Wei ;
Yan, Gangfeng ;
Yu, Changbin ;
Giua, Alessandro .
AUTOMATICA, 2013, 49 (06) :1900-1906
[7]   Leader-Follower Formation and Tracking Control of Mobile Robots Along Straight Paths [J].
Loria, Antonio ;
Dasdemir, Janset ;
Jarquin, Nohemi Alvarez .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2016, 24 (02) :727-732
[8]  
Ren Wen., 2002, AIAA GUIDANCE NAVIGA
[9]  
[万俊 Wan Jun], 2024, [农业机械学报, Transactions of the Chinese Society for Agricultural Machinery], V55, P409
[10]  
[闫炳成 Yan Bingcheng], 2023, [中国舰船研究, Chinese Journal of Ship Research], V18, P78