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Three-dimensional path planning for UAV based on improved PSO algorithm

机译:基于改进PSO算法的无人机三维路径规划

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This paper proposed a method of path planning in three-dimensional space based on concentric spherical coordinate and improved particle swarm optimization algorithm. First the model of three-dimensional path planning of UAV was analyzed. Then the encoding method based on concentric spherical coordinate system was given. The constraints were combined with the improved particle swarm optimization algorithm to make the path more rational and the searching more efficiently. At the same time using Matlab7.0 as the development tool for simulation, the simulation analyses showed that the method of path planning in this paper is applicable and acceptable, which could achieve the goal of terrain following and threat avoidance (TF/TA2).
机译:提出了一种基于同心球坐标和改进的粒子群算法的三维空间路径规划方法。首先分析了无人机的三维路径规划模型。然后给出了基于同心球坐标系的编码方法。约束条件与改进的粒子群算法相结合,使路径更合理,搜索更有效。同时使用Matlab7.0作为仿真开发工具,仿真分析表明本文提出的路径规划方法是可行的,可以接受的,可以达到跟踪地形和避免威胁的目的(TF / TA2)。

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