FMS中自动引导车辆的多准则智能调度控制

N. Umashankar, V. Karthik
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引用次数: 10

摘要

在柔性制造系统(FMS)中,自动导引车(agv)用于在各个取货点和交货点之间运输加工过的材料。将AGV从同时请求零件运输服务的一组工作中心分配到一个工作中心,通常使用简单的调度规则实时解决。提出了一种基于多准则模糊控制器的agv智能调度方法,该方法在每次调度决策中同时考虑多个方面。控制器分两个阶段运行,其中第二阶段被构建为特定工作中心的两个同等排名的agv之间的冲突解决工具。利用MATLAB及其模糊推理引擎实现了该控制系统。提供了示例运行来说明控制器的实现
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-criteria Intelligent Dispatching Control of Automated Guided Vehicles in FMS
In flexible manufacturing systems (FMS), automated guided vehicles (AGVs) are used for transportation of the processed materials between various pickup and delivery points. The assignment of an AGV to a workcentre from a set of workcentres simultaneously requesting the service for transport of a part is often solved in real-time with simple dispatching rules. This paper proposes an intelligent dispatching approach for the AGVs based on multi-criteria fuzzy logic controller, which simultaneously takes into account multiple aspects in every dispatching decision. The controller operates in two stages in which the second stage is constructed as a conflict resolving tool between two equally ranked AGVs for a particular workcentre. The control system is being implemented using MATLAB and its fuzzy inference engine. Sample runs have been provided to illustrate the controller implementation
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