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A real-time traffic control scheme of multiple AGV systems for collision free minimum time motion: a routing table approach

机译:用于无冲突最小时间运动的多个AGV系统的实时交通控制方案:路由表方法

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A two-staged traffic control scheme, in which sets of candidate paths are prepared off-line prior to overall motion planning process, has been widely adopted for motion planning of mobile robots, but relatively little attention has been given to the application of the two-staged scheme to multiple automated guided vehicle systems (MAGVSs). In the paper, a systematic two-staged traffic control scheme is presented to obtain collision-free minimum-time motions of AGVs along loopless paths. The overall structure of the controller is divided into two tandem modules of off-line routing table generator (RTG) and an online traffic controller (OTC). First, an induced network model is established considering the configurational restrictions of guide-paths. With this model and a modified k-shortest path algorithm, RTG finds sets of k candidate paths from each station nodes to all the other station nodes off-line and stores them in the form of routing tables. Each time a dispatch command for an AGV is issued, OTC utilizes these routing tables to generate a collision-free minimum-time motion along a loopless path. Real-time computation is guaranteed in that the time-consuming graph searching process is executed off-line by RTG, and OTC looks for the minimum time motion among the k candidate paths. The traffic control scheme proposed is suitable for practical application in centralized MAGVS with zone blocking technique.
机译:两阶段交通控制方案已在移动机器人的运动规划中广泛采用,其中在整个运动规划过程之前脱机准备了候选路径集,但移动机器人的运动规划却得到了相对较少的关注多个自动导引车系统(MAGVS)的分阶段方案。在本文中,提出了一种系统的两阶段交通控制方案,以获取AGV沿无环路径的无冲突最小时间运动。控制器的整体结构分为离线路由表生成器(RTG)和在线流量控制器(OTC)的两个串联模块。首先,考虑引导路径的配置限制,建立诱导网络模型。利用此模型和改进的k最短路径算法,RTG可以找到从每个站点节点到所有其他站点节点的k条候选路径的离线集合,并将它们以路由表的形式存储。每次发出用于AGV的调度命令时,OTC都会使用这些路由表来生成沿无环路径的无冲突最小时间运动。通过RTG离线执行耗时的图形搜索过程,保证了实时计算,OTC在k条候选路径中寻找最小的时间运动。提出的流量控制方案适合带区域阻塞技术的集中式MAGVS的实际应用。

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