Dynamic uav path planning for moving target intercept in 3D

H. H. Triharminto, T. B. Adji, N. A. Setiawan
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引用次数: 8

Abstract

Dynamic path planning is one of the challenging research problems which is needed to guide UAV (Unmanned Aerial Vehicle) for moving target intercept. This research is to develop an algorithm for moving target intercept with obstacle avoidance in 3D. The algorithm which is called L+Dumo Algorithm integrate a modified Dubins Algorithm and Linear Algorithm. The simulation is conducted using one UAV and one moving target with an obstacle of cylindrical shape in between both objects. The result shows that the algorithm can guide UAV to approach the moving target with the accuracy of 67.417% L+Dumo algorithm will solve dynamic path planning problem for moving target intercept in 3D with minimum complexity of computation.
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三维移动目标拦截无人机动态路径规划
动态路径规划是指导无人机(UAV)拦截运动目标所需要解决的具有挑战性的研究问题之一。本文研究的是一种三维运动目标拦截避障算法。该算法将改进的杜宾算法和线性算法相结合,称为L+Dumo算法。仿真采用一架无人机和一个运动目标,两者之间有一个圆柱形障碍物。结果表明,该算法能以67.417%的精度引导无人机接近运动目标,L+Dumo算法能以最小的计算复杂度解决三维运动目标拦截的动态路径规划问题。
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