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Path scheduling for multi-AGV system based on two-staged traffic scheduling scheme and genetic algorithm

机译:基于两阶段交通调度方案和遗传算法的多AGV系统路径调度

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摘要

An improved two-staged traffic scheduling scheme with Genetic algorithm (GA) are combined in this paper for a multi-AGV (Automated Guided Vehicle) system, containing path planning and conflicts avoidance for multi-AGV, wherein path following for a single AGV and path scheduling with GA for multi-AGV both in off-line and on-line stages. Multiple objectives and constraints are taken into account for on-line GA when some routes in digital map are unable to use due to unavoidable conflicts. A new conflict-free policy is proposed which changes the velocity or routes of the inferior AGV to make their movement harmoniously. Finally, two numerical simulations are used prove the efficacy of traffic scheduling scheme and the adaptability of motion control algorithm respectively.
机译:本文针对遗传算法(GA)提出了一种改进的两阶段交通调度方案,用于多导AGV系统,该方案包含多导AGV的路径规划和冲突规避。离线和在线阶段,针对多AGV的GA进行路径调度。当数字地图中的某些路线由于不可避免的冲突而无法使用时,在线GA需要考虑多个目标和约束。提出了一种新的无冲突政策,该政策改变了劣质AGV的速度或路线,以使其协调行驶。最后,通过两个数值模拟分别证明了交通调度方案的有效性和运动控制算法的适应性。

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  • 作者单位

    Jiangsu Electric Power Company Research Institute, Jiangsu, China,State Grid Key Laboratory of Electric Energy Measurement, Nanjing, Jiangsu, China;

    Jiangsu Electric Power Company Research Institute, Jiangsu, China,State Grid Key Laboratory of Electric Energy Measurement, Nanjing, Jiangsu, China;

    Jiangsu Electric Power Company Research Institute, Jiangsu, China,State Grid Key Laboratory of Electric Energy Measurement, Nanjing, Jiangsu, China;

    Jiangsu Electric Power Company Research Institute, Jiangsu, China,State Grid Key Laboratory of Electric Energy Measurement, Nanjing, Jiangsu, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    AGV; traffic scheduling; genetic algorithm;

    机译:AGV;交通调度;遗传算法;

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