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Bio-Inspired Trajectory Generation for UAV Perching

机译:对无人机栖息的生物启发轨迹一代

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This paper represents a bio-inspired trajectory generation (path planning) method for UAV perching. The method is based on the tau theory which was established from studying the natural motion behaviors when animals (including humans) approaching and catching a fixed or moving object. In our research, the tau theory is applied to the trajectory generation problem of a UAV perching on a target object. Two perching scenarios have been studied, one from a flight state (with non-zero initial velocity) and one from a hovering state (with zero initial velocity). Three strategies, namely, perching with a straight-line trajectory, perching with pitch angle coupling, and perching with pitch/yaw angular coupling, are demonstrated with each of the two scenarios. The simulation results show that the resulting flight trajectories meet all the desired requirements for a rotary UAV to perch on an object.
机译:本文代表了一个生物启发轨迹生成(路径规划)方法,用于无人机栖息。该方法基于TAU理论,该理论是在动物(包括人类)接近和捕获固定或移动物体时研究自然运动行为。在我们的研究中,TAU理论应用于目标对象栖息的轨迹生成问题。已经研究了两个栖息的场景,一个来自飞行状态(具有非零初始速度)和一个来自悬停状态的场景(具有零初始速度)。三种策略,即用直线轨迹栖息,用俯仰角耦合栖息,并用俯仰/偏航角耦合栖息,并用两种情况中的每一个进行说明。仿真结果表明,由此产生的飞行轨迹满足旋转无人机对物体上的旋转无人机的所有所需要求。

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