基于空基控制的异质编队轨迹跟踪

Valentim Ernandes Neto, M. Sarcinelli-Filho, A. Brandão
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引用次数: 15

摘要

这项工作讨论了由两个异构机器人组成的轨迹跟踪任务,即先锋3-DX (UGV)和AR.Drone 2.0四轴飞行器(UAV)。控制范式将编队视为一个虚拟结构,这里用连接两个智能体的三维直线表示。该编队的特征是两个机器人之间的距离和两个角度,在连接线和YZ和XZ平面之间测量。在这种方法中,编队位置与UGV位置重合。机器人到队形变量之间的转换允许从机器人的运动开始表征队形的运动和形状,反之亦然。然后,控制器引导编队并管理两个相互冲突的子任务(到达期望的机器人位置或保持编队形状),其优先级由基于零空间的方法定义。最后,通过实际实验验证了该方法在三种情况下的轨迹跟踪任务,一种是对编队位置分配最高优先级,另一种是对编队形状分配最高优先级,最后一种是没有任何优先级。此外,我们还评估了其中一个机器人在失效情况下的地层行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trajectory-tracking of a Heterogeneous Formation Using Null Space-Based Control
This work discusses a trajectory tracking task accomplished by a formation of two heterogeneous robots, namely a Pioneer 3-DX (UGV) and an AR.Drone 2.0 quadcopter (UAV). The control paradigm considers the formation as a virtual structure, here represented by a 3D straight line linking the two agents. The formation is characterized by the distance between the two robots and two angles, measured between the linking-line and the YZ and XZ planes. In this approach, the formation position coincides with the UGV position. The transformation between the robot to formation variables allows characterizing the motion and shape of the formation starting from the movement of the robots, or vice-versa. Then, a controller guides the formation and manages two conflicting subtasks (reach the desired robot position or keep the formation shape), whose priority is defined by the null space-based approach. Finally, real experiments validate the proposed approach during trajectory-tracking tasks for three scenarios, one assigning the highest priority to the formation position, another to the formation shape, and a last one, without any priority. In addition, we evaluated the formation behavior in failure situations in one of the robots.
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