An Efficient Formation Control mechanism for Multi-UAV Navigation in Remote Surveillance

Gunasekaran Raja, Yashvandh Baskar, Priyanka Dhanasekaran, Raheel Nawaz, Keping Yu

研究成果: Conference contribution

抄録

Multiple Unmanned Aerial Vehicles (UAVs) have a greater potential to be widely used in civil and military applications. Swarm of UAVs can be deployed in a multitude of 24/7 security and surveillance. The network management and pattern formation are crucial for multi-UAV formation control mechanisms while cautiously navigating the surveillance areas. A Deep Reinforcement Learning (DRL) based Formation Flight Control for Navigation (FFCN) is used to efficiently build the UAV swarm, which decreases networking load by minimizing communication and processing involved in pattern formation. Moreover, through the leader-follower navigation, the network management of the swarm is substantially simplified. The leader-follower approach in FFCN is efficient for multi-UAV as the navigation system needs to find only the leader's trajectory. However, the failure of the leader due to actuator faults decreases the efficiency of the system. The proposed FFCN addresses the above by including a fault-tolerance mechanism, thus improving the system's reliability. Simulation results show that the FFCN model achieves faster convergence in less time with a lower collision rate. The model's usage reduced the collision rate to 3.4% in successful formation without colliding with other UAVs.

本文言語English
ホスト出版物のタイトル2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665423908
DOI
出版ステータスPublished - 2021
イベント2021 IEEE Globecom Workshops, GC Wkshps 2021 - Madrid, Spain
継続期間: 2021 12月 72021 12月 11

出版物シリーズ

名前2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings

Conference

Conference2021 IEEE Globecom Workshops, GC Wkshps 2021
国/地域Spain
CityMadrid
Period21/12/721/12/11

ASJC Scopus subject areas

  • 情報システム
  • 信号処理
  • ソフトウェア
  • 情報システムおよび情報管理
  • 人工知能
  • コンピュータ ネットワークおよび通信

フィンガープリント

「An Efficient Formation Control mechanism for Multi-UAV Navigation in Remote Surveillance」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル