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Modeling Distributed Transportation Systems Composed of Flexible Automated Guided Vehicles in Flexible Manufacturing Systems

机译:在柔性制造系统中建模由柔性自动导引车组成的分布式运输系统

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摘要

This paper proposes a methodology for modeling and controlling a flexible material handling system (MHS), composed of multiple automated guided vehicles (AGVs), suitable for Flexible Manufacturing Systems (FMSs). The AGVs incorporate artificial intelligent techniques to: i) facilitate the configuration and adaptation when there are layout modifications and ii) simplify the interaction between them using simple coordination models. In order to achieve higher flexibility, the MHS makes use of a decentralized navigation control, which increases autonomy and scalability, and a distributed Petri net for solving task allocation and traffic control problems. In order to facilitate the integration with the manufacturing processes, tasks dispatched by manufacturing cells are allocated by the MHS itself, taking into account pending transportation tasks and the system's performance. The whole system has been tested in a real factory and is currently in operational use.
机译:本文提出了一种用于建模和控制柔性材料处理系统(MHS)的方法,该系统由适用于柔性制造系统(FMS)的多个自动导引车(AGV)组成。 AGV集成了人工智能技术,以:i)在进行布局修改时方便配置和调整,ii)使用简单的协调模型简化它们之间的交互。为了获得更高的灵活性,MHS使用了分散的导航控件(可增加自治性和可伸缩性)和分布式Petri网,以解决任务分配和交通控制问题。为了促进与制造流程的集成,制造单元分派的任务由MHS自己分配,同时考虑到待处理的运输任务和系统的性能。整个系统已在实际工厂中进行了测试,目前已投入使用。

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