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Sensor-based Obstacles Avoidance Using Spiral Controllers for an Aircraft Maintenance Inspection Robot

机译:使用螺旋控制器的飞机维修检查机器人基于传感器的障碍物规避

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This paper deals with the problem of obstacle avoidance during an automated preflight inspection. During this mission, safety appears to be a key issue, as numerous obstacles are lying in a close neighborhood of the aircraft. They are very different in terms of size, shape and mobility and are often unforeseen. To cope with this highly evolutive environment, it is necessary to design a method sufficiently generic to deal with the obstacles variety and efficient enough to guarantee non collision and avoid classical problems such as local minima, singularities, etc. In this paper, we have proposed a new sensor-based control strategy fulfilling these two requirements. It consists in defining and following an adaptative spiral around the encountered obstacles while performing preflight inspection. It relies on two main elements: (i) the definition of a spiral whose parameters are continuously updated depending on the robot motion and on the environment; (ii) the coupling of two sensor-based controllers allowing to track the spiral while avoiding singularities. Experimental results conducted on our robot show the relevance and the efficiency of the proposed control strategy.
机译:本文涉及自动飞行前检查过程中避开障碍物的问题。在执行此任务期间,安全性似乎是一个关键问题,因为许多障碍物都位于飞机的附近。它们在大小,形状和移动性方面有很大不同,并且常常是无法预料的。为了应对这种高度发展的环境,有必要设计一种足够通用的方法来应对各种障碍物,并且要有足够的效率来保证不发生碰撞,并避免诸如局部极小,奇异性等经典问题。在本文中,我们提出了一种新的基于传感器的控制策略,可以满足这两个要求。它包括在执行飞行前检查时围绕遇到的障碍物定义并跟踪适应性螺旋。它依赖于两个主要元素:(i)螺旋的定义,其参数根据机器人的运动和环境而不断更新; (ii)两个基于传感器的控制器的耦合,允许在避免奇异的同时跟踪螺旋。在我们的机器人上进行的实验结果表明了所提出的控制策略的相关性和效率。

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