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一种自主水下航行器路径规划算法
引用本文:崔荣鑫,徐德民,严卫生.一种自主水下航行器路径规划算法[J].系统仿真学报,2006,18(12):3373-3376.
作者姓名:崔荣鑫  徐德民  严卫生
作者单位:西北工业大学水下信息处理与控制国家重点实验室,西安,710072
基金项目:教育部跨世纪优秀人才培养计划
摘    要:提出了一种自主水下航行器穿越雷区的路径规划算法。将路径规划分为全局路径规划和局部路径规划两个部分,建立了水雷分布的Voronoi图,采用遗传算法规划出初步的全局最优路径。自主水下航行器按照全局最优路径航行时,利用前视声纳作为探测仪器。根据所测得的障碍物相对于自主水下航行器的位置关系设计出一个模糊推理系统(FIS)求解其避障角度,完成局部路径规划。仿真结果表明了这种算法的有效性。

关 键 词:自主水下航行器  路径规划  Voronoi图  模糊推理系统
文章编号:1004-731X(2006)12-3373-04
收稿时间:2005-09-02
修稿时间:2006-09-25

Path Planning Algorithm for Autonomous Underwater Vehicle
CUI Rong-xin,XU De-min,YAN Wei-sheng.Path Planning Algorithm for Autonomous Underwater Vehicle[J].Journal of System Simulation,2006,18(12):3373-3376.
Authors:CUI Rong-xin  XU De-min  YAN Wei-sheng
Abstract:A path-planning algorithm for Autonomous Underwater Vehicle (AUV) while going across a minefield was proposed. The path planning includes two parts, global path planning and local path planning. The Voronoi diagram of mine distribution was established, and then global optimal path was planned using genetic algorithm. Looking forward sonar is used as measuring instrument while AUV tracks the global optimal path. A fuzzy inference system (FIS) was designed to derive the obstacle-avoiding angle based on the position relationship of the AUV and the obstacle, and then the local path planning was achieved. Simulation results show the efficiency of the algorithm.
Keywords:Autonomous Underwater Vehicle  path planning  Voronoi diagram  fuzzy inference system
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