Formation Control of UAVs Based on Improved Artificial Potential Field
Author:
Affiliation:
1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, China
2. College of Astronautics, Nanjing University of Aeronautics and Astronautics, China and Shanghai Key Laboratory of Spacecraft Mechanism, China
Funder
2023 Shanghai Excellent Academic Leader Program
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3655497.3655524
Reference20 articles.
1. Research on Consensus of UAV Formation Trajectory Planning Based on Improved Potential Field
2. Research on Multi-UAV Path Planning and Obstacle Avoidance Based on Improved Artificial Potential Field Method
3. Path Planning for UAV Reconnoitring in Complex Environment Based on Improved Visibility Graph and Genetic Algorithm
4. Hou, Zhicheng , and I. Fantoni . "Leader-Follower Formation Saturated Control for Multiple Quadrotors with Switching Topology." Workshop on Research IEEE, 2016.
5. A Multi-AUV Formation Algorithm Combining Artificial Potential Field and Virtual Structure;Pan W. W.;Acta Armamentarii 38,2017
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