Multiple UAV Guidance Using the Multi-layer Control Scheme and Delaunay Triangulation

A. Brandão, J. Barbosa, Valentin Mendoza, M. Sarcinelli-Filho
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引用次数: 3

Abstract

This work presents a strategy to guide a formation of multiple unmanned aerial vehicles (MUAV) to accomplish positioning and trajectory-tracking tasks. Delaunay triangulation is here used to split the platoon of UAVs in N-triangles, which are individually guided by the multi-layer control scheme (MLCS). The advantage of this proposal is to reduce the possibility of intra-formation collision, since there is no intersection between the line segments composing the sides of the N-triangles. The advantage of the MLCS is to maintain the order of the Jacobian matrix constant, regardless of the number of robots in the formation, which reduces the complexity of the control problem. Before sending the control signals to each robot, they are weighted according to the number of triangles to which a specific robot belongs. Simulation results demonstrate the ability to accomplish the aforementioned tasks, thus validating the proposal.
基于多层控制和Delaunay三角测量的多无人机制导
本文提出了一种引导多架无人机编队完成定位和轨迹跟踪任务的策略。本文采用Delaunay三角剖分法将无人机编队划分为n个三角形,由多层控制方案(MLCS)分别进行制导。该方案的优点是减少了队内碰撞的可能性,因为构成n个三角形边的线段之间没有相交。MLCS的优点是无论队列中机器人的数量如何,都能保持雅可比矩阵的阶数不变,从而降低了控制问题的复杂性。在向每个机器人发送控制信号之前,根据特定机器人所属三角形的数量对它们进行加权。仿真结果证明了完成上述任务的能力,从而验证了该建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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