Convens Bryan, Merckaert Kelly, Vanderborght Bram, Nicotra Marco M
Robotics and Multibody Mechanics (R&MM), Department of Mechanical Engineering, Vrije Universiteit Brussel, Brussels, Belgium.
Imec, Leuven, Belgium.
Front Robot AI. 2021 Jun 22;8:663809. doi: 10.3389/frobt.2021.663809. eCollection 2021.
This article provides a theory for provably safe and computationally efficient distributed constrained control, and describes an application to a swarm of nano-quadrotors with limited on-board hardware and subject to multiple state and input constraints. We provide a formal extension of the explicit reference governor framework to address the case of distributed systems. The efficacy, robustness, and scalability of the proposed theory is demonstrated by an extensive experimental validation campaign and a comparative simulation study on single and multiple nano-quadrotors. The control strategy is implemented in real-time on-board palm-sized unmanned erial vehicles, and achieves safe swarm coordination without relying on any offline trajectory computations.
本文提供了一种用于可证明安全且计算高效的分布式约束控制的理论,并描述了其在一群具有有限机载硬件且受多种状态和输入约束的纳米四旋翼飞行器上的应用。我们对显式参考调节器框架进行了形式上的扩展,以解决分布式系统的情况。通过广泛的实验验证活动以及对单个和多个纳米四旋翼飞行器的对比模拟研究,证明了所提出理论的有效性、鲁棒性和可扩展性。该控制策略在掌上型无人飞行器上实时实现,并且无需依赖任何离线轨迹计算即可实现安全的群体协调。