GNSS・通信不要で特徴の乏しい環境を高速に群飛行するUAV群制御
Fast Swarming of UAVs in GNSS-denied Feature-poor Environments without Explicit Communication
外部測位や通信が使えない環境で、機体間の相互認識と状態推定をオンボードで行い、UAV群を高速に協調飛行させる分散制御手法を提案し、実機実験で検証した。
著者: Jiri Horyna, Vit Kratky, Vaclav Pritzl, Tomas Baca, Eliseo Ferrante, Martin Saska
分類: cs.RO
原文アブストラクト
A decentralized swarm approach for the fast cooperative flight of Unmanned Aerial Vehicles (UAVs) in feature-poor environments without any external localization and communication is introduced in this paper. A novel model of a UAV neighborhood is proposed to achieve robust onboard mutual perception and flocking state feedback control, which is designed to decrease the inter-agent oscillations common in standard reactive swarm models employed in fast collective motion. The novel swarming methodology is supplemented with an enhanced Multi-Robot State Estimation (MRSE) strategy to increase the reliability of the purely onboard localization, which may be unreliable in real environments. Although MRSE and the neighborhood model may rely on information exchange between agents, we introduce a communication-less version of the swarming framework based on estimating communicated states to decrease dependence on the often unreliable communication networks of large swarms. The proposed solution has been verified by a set of complex real-world experiments to demonstrate its overall capability in different conditions, including a UAV interception-motivated task with a group velocity reaching the physical limits of the individual hardware platforms.
