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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UV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/TA~2).
机译:本文提出了一种基于同心球形坐标和改进粒子群优化算法的三维空间路径规划方法。首先,分析了UAV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。约束与改进的粒子群优化算法相结合,使路径更加合理,更有效地搜索。与此同时,使用MATLAB7.0作为模拟的开发工具,模拟分析表明,本文的路径规划方法适用,可接受,这可以实现地形的目标和避免威胁(TF / TA 2 )。

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