论文部分内容阅读
提出了一种由产品关联图自动生成产品装配优化序列的方法。首先对产品关联图进行割集运算，并由此可得相应的产品装配与／或图，再由此与／或图构造出产品装配的知识PETRI网，运行此知识PETRI网后便可得到此产品的最佳装配序列。本文介绍的这种基于知识PETRI网的机器人装配规划方法与目前常规的机器人装配规划方法，如启发式搜索法与基于装配知识库的装配专家系统相比，规划速度快。由于该方法将人工智能应用于PETRI网中，故智能强，且算法简单，因此更适合于在线规划，并可广泛运用于柔性装配系统中。
A method to automatically generate product assembly optimization sequence from product correlation graph is proposed. Firstly, the product correlation graph is cut and set, and the corresponding product assembly and / or graph can be obtained, and then the PETRI network with knowledge of product assembly can be obtained by this and / or graph. After running this knowledge PETRI network, The best assembly sequence for the product. This paper introduces the knowledge-based PETRI network-based robot assembly planning method and the current routine robot assembly planning methods, such as heuristic search method and assembly knowledge base based on the assembly expert system, the planning speed. Because this method applies artificial intelligence to PETRI network, it is intelligent and simple in algorithm, so it is more suitable for online planning and can be widely used in flexible assembly system.