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Closed-Loop Perching and Spatial Guidance Laws for Bio-Inspired Articulated Wing MAV

机译:生物启发的铰接式翼MAV的闭环栖息和空间制导律

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This paper presents the underlying theoretical developments and successful experimental demonstrations of perching of an aerial robot. The open-loop lateral-directional dynamics of the robot are inherently unstable because it lacks a vertical tail for agility, similar to birds. A unique feature of this robot is that it uses wing articulation for controlling the flight path angle as well as the heading. New guidance algorithms with guaranteed stability are obtained by rewriting the flight dynamic equations in the spatial domain rather than as functions of time, after which dynamic inversion is employed. It is shown that nonlinear dynamic inversion naturally leads to proportional-integral-derivative (PID) controllers, thereby providing an exact method for tuning the gains. The effectiveness of the proposed bio-inspired robot design and its novel closed-loop perching controller has been successfully demonstrated with perched landings on a human hand.
机译:本文介绍了空中机器人栖息的基础理论发展和成功的实验演示。机器人的开环横向动力学本质上是不稳定的,因为它缺乏像鸟一样的敏捷敏捷的垂直尾巴。该机器人的独特之处在于它使用机翼关节来控制飞行路径角度和航向。通过在空间域中而不是时间函数上重写飞行动力学方程,可以获得具有保证稳定性的新制导算法,然后采用动态反演。结果表明,非线性动态反演自然会导致比例积分微分(PID)控制器,从而为调节增益提供了一种精确的方法。拟议中的受生物启发的机器人设计及其新颖的闭环栖息控制器的有效性已在人手栖息着地的情况下得到了成功证明。

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