UAV Group Formation Collision Avoidance Method Based on Second-Order Consensus Algorithm and Improved Artificial Potential Field
The problem of collision avoidance of an unmanned aerial vehicle (UAV) group is studied in this paper. A collision avoidance method of UAV group formation based on second-order consensus algorithm and improved artificial potential field is proposed. Based on the method, the UAV group can form a pred...
Main Authors: | Yang Huang, Jun Tang, Songyang Lao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-09-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/11/9/1162 |
Similar Items
-
Formation with Non-Collision Control Strategies for Second-Order Multi-Agent Systems
by: Eduardo Aranda-Bricaire, et al.
Published: (2023-06-01) -
A Hybrid Motion Planning Algorithm for Multi-Mobile Robot Formation Planning
by: Haojie Chen, et al.
Published: (2023-08-01) -
Delayed-Compensation Algorithm for Second-Order Leader-Following Consensus Seeking under Communication Delay
by: Cheng-Lin Liu, et al.
Published: (2015-06-01) -
Collision Avoidance for Cooperative UAVs With Optimized Artificial Potential Field Algorithm
by: Jiayi Sun, et al.
Published: (2017-01-01) -
Research on the strategies for collision avoidance of multi‐UAV with three dimensional formation in combination of consensus algorithm and uniform flow
by: Wei Xu, et al.
Published: (2023-12-01)