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Path Planning for Quadrotor UAV in 3D Environment
rapidly-exploring random tree
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|摘要:||對四旋翼無人飛行器在存有障礙物的三維環境中進行飛行路徑規劃是一個困難的課題。四旋翼無人飛行器利用四個螺旋翼制動器搭配變化比傳統式無人飛行器有更佳的飛行姿態變化。本篇論文提出一種快速擴張隨機樹(RRT)演算法用以決定三維環境中的最初路徑。因為自RRT 演算法獲得的路徑不盡然是最佳解同時可能存在過多的中繼點，為了解決這個問題，我們利用四旋翼飛行器的頭向作為改良A* 演算法的成本因素，用以調整自RRT 演算法獲得的最初路徑。經由改良Ａ* 演算法修正後的路徑會是片段線性且可能存在尖銳的轉折點。我們採用貝茲曲線(Bezier curves)進一步將路徑平滑化，使之適於四旋翼無人飛行器飛行。被提出的路徑規劃方法通過各種情境都得到很好的驗證。結果展示出四旋翼飛行器在三維空間中有理想的飛行。|
Path planning for quadrotor unmanned aerial vehicles (UAVs) is difficult in the three-dimensional (3D) environment with obstacles. Compared with usual UAVs, a quadrotor UAV equipped with the actuators of four propellers renders it possessing higher mobility, i.e. it can fly toward any direction freely. Taking into consideration the specific feature and the requirement of real-time flight path planning, we first develop a rapidly exploring random tree (RRT) algorithm to determine a preliminary flight path, especially for quadrotor UAVs, in 3D space. Since the path obtained by the RRT is not necessarily optimal and excessive waypoints usually need to be refined. We further adopt headings of quadrotor UAV as the moving cost of the improved A* algorithm. The secondary path generated by the improved A-star algorithm is piecewise linear and may sometimes exhibit rugged curvature. Bezier curves are them utilized to refine the flight path obtained via the A-star algorithm making it to be applicable for real-world quadrotor UAV flight. The proposed path planning method has been well verified via a variety of scenarios. The results show satisfactory flight parts for quadrotor UAVs in 3D environment.
|Appears in Collections:||電機工程學系所|
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