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A Control of Collision and Deadlock Avoidance for Automated Guided Vehicles with a Fault-tolerance Capability

机译:控制具有容错能力的自动导向车辆的碰撞和死锁避免

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Based on a novel discrete-event zone-control model, in our previous papers [1, 2], we presented a time-efficient traffic control for automated guided vehicle (AGV) systems to exclude inter-vehicle collisions and system deadlocks, together with a case study on container terminals. The traffic control allows each vehicle in an AGV system to freely choose its routes for any finite sequence of zone-to-zone transportation tasks and the routes can be constructed in an online fashion. In this paper, we extended our previous results with two practical goals: (1) to increase the utilization of the workspace area by reducing the minimally allowed area of each zone; (2) to avoid vehicle collisions and deadlocks with the occurrence of vehicle breakdowns. To achieve the first goal, we include one extra vehicle event that allows each vehicle to probe further ahead while it is moving on the guide-path. This leads to an extension of our previous discrete-event model and traffic control rules, which are presented in the first part of the paper. The second part of the paper concerns the second goal, for which an emergency traffic control scheme is designed as supplementary to the normal traffic control rules. As in our previous papers, the improved model and traffic control are applied to a simulation of quayside container transshipment at container terminals; our simulation results are compared with those from two interesting works in the literature.
机译:基于新颖的离散事件区域控制模型,在我们之前的论文[1,2]中,我们为自动引导车辆(AGV)系统提供了一个节省的交通管制,以排除车辆间碰撞和系统死锁集装箱码头案例研究。流量控制允许在AGV系统中的每个车辆进行任何有限序列的区域到区域运输任务的路由,并且可以以在线方式构建路线。在本文中,我们通过两种实际目标扩展了先前的结果:(1)通过减少每个区域的最小允许的区域来增加工作区区域的利用; (2)避免车辆崩溃的车辆碰撞和死锁。为了实现第一目标,我们包括一个额外的车辆事件,允许每个车辆在导向路径上移动时探测到进一步提前。这导致我们之前的离散事件模型和流量控制规则的扩展,这些规则在纸张的第一部分中呈现。本文的第二部分涉及第二个目标,紧急交通管制方案被设计为对正常交通管制规则的补充。与我们之前的论文一样,改进的模型和交通管制应用于集装箱码头的码头集装箱转运模拟;我们的模拟结果与文学中的两个有趣工程的仿真结果进行了比较。

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