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基于K路径算法的多无人机协同航迹规划 被引量:3

Study on coordinate path planning Based on K-shortest path algorithm
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摘要 对于满足无人机团队中各机同时到达目标这样一个特定的协同要求,首先采用K路径算法实现了无人机的多航迹规划,然后采用速度控制和K路径算法相结合的办法实现了各无人机之间的时间协同。对整个协同航迹规划问题,采用一种分散式求解方法,把高维优化问题分解成低维、计算量小、通讯数据少的问题。 To fulfill the specific requirement of cooperating multi UCAVs that reach their objects simultaneously, the K-shortest path algorithm is used in multi path generation, and speed restriction is integrated into K-shortest path algorithm to cooperate the UCAVs. A decentralized approach is used in solving the whole cooperative programming problem: divide the multidimensional problems into low-dimensional problems that cost less computation and communication time.
作者 刘宇坤 谢军
出处 《微计算机信息》 北大核心 2008年第24期208-209,108,共3页 Control & Automation
关键词 无人机 K路径算法 VORONOI图 协同航迹规划 UAV K-shortest path algorithm Voronoi map coordinate path planning
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