Path Following Control for Unmanned Aerial Vehicle Based on Carrot Chasing Algorithm and PLOS

Xue Jin, Wu Mei, Yang Zhaolong
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Abstract

One of the reasons that UAVs play an important role in many fields is that they can follow paths accurately. The information on the comparison of the path following algorithms is far from enough. In order to make an intensive study of path following problem, we use a kinematic model to compare and analyze Carrot chasing algorithm and PLOS algorithm. The comparison of the path following algorithms is carried out through simulations. The results show that the UAV can track the target paths accurately with each of the algorithms. We can figure out that it is important to select the proper gains in the guidance laws for great path following performances.
基于胡萝卜追踪算法和PLOS的无人机路径跟踪控制
无人机在许多领域发挥重要作用的原因之一是它们可以准确地跟踪路径。关于路径跟踪算法比较的信息还远远不够。为了深入研究路径跟踪问题,我们使用运动学模型对Carrot追赶算法和PLOS算法进行了比较分析。通过仿真对路径跟踪算法进行了比较。实验结果表明,每种算法都能使无人机准确地跟踪目标路径。可以看出,为了获得良好的路径跟随性能,制导律中选择合适的增益是非常重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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