基于部分订单计划技术的制造系统控制序列自动生成

L Castillo, J Fdez-Olivares, A González
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引用次数: 15

摘要

本文提出了一种将人工智能规划技术应用于制造系统控制序列自动生成的方法。这些系统有一些在规划过程中必须考虑的特殊特征,但是当使用通常的行动模型来处理这些特征时,就会遇到困难。在这项工作中,通过扩展经典的条带模型来定义一个专门的基于间隔的动作模型,使其更具表现力,从而能够处理这些特征。因此,在一般的偏序规划方案的基础上,定义了一种针对该动作模型的专用规划算法,即机器,该算法能够获得制造系统的控制序列。这些控制序列实际上是控制程序的骨架,可以很容易地转换成用GRAFCET图表示的实际控制程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic generation of control sequences for manufacturing systems based on partial order planning techniques

This work presents an approach for the application of artificial intelligence planning techniques to the automatic generation of control sequences for manufacturing systems. These systems have some special features that must be considered in the planning process, but there are difficulties when the usual models of action are used to deal with these features. In this work, a specialized interval-based model of action is defined by extending the classic model of strips giving it more expressiveness so that it is able to deal with these features. In consequence, a specialized planning algorithm for this model of action, called machine, is defined based on a general partial order planning scheme, and it is able to obtain control sequences for manufacturing systems. These control sequences are actually the control program skeleton and may be easily translated into real control programs expressed as GRAFCET charts.

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