Fuzzy Logic Control for Design and Control of Manufacturing Systems
Fuzzy Logic Control for Design and Control of Manufacturing Systems
复制标题
用于制造系统设计和控制的模糊逻辑控制
DOI：
10.1007/978-3-642-58930-0_24
复制
发表时间：
1998
影响因子：
2.9
通讯作者：
B.J. Tan
中科院分区：
文献类型：
--
作者：
B.J. Tan
在这项研究中，第一个最近的应用模糊逻辑在制造系统的设计和控制进行了简要回顾。模糊逻辑控制是一种实现实时控制算法的技术，它可以嵌入在制造系统智能分层控制框架中的工作站中。然后介绍了模糊逻辑在制造系统设计和控制中的两个应用。第一个应用是模糊分解方法的制造系统的性能评价。一个模型的工作单元与返工是用来描述模糊分解方法。模糊逻辑被用作分解方法的搜索算法中的增益调度器。据观察，模糊逻辑大大提高了分解方法的收敛速度。第二个应用程序是一个模糊流量控制器，调整生产率的故障倾向的制造系统，以尽量减少总库存携带和延期交货成本，同时满足不确定的需求。作为该模型的推广，讨论了自适应模糊流量控制器。
In this study, first recent applications of fuzzy logic in design and control of manufacturing systems are briefly reviewed. Fuzzy logic control is presented as a technique to implement real-time control algorithms that can be embedded in workstations in the framework of intelligent hierarchical control of manufacturing systems. Then two applications of fuzzy logic in design and control of manufacturing systems are presented. The first application is a fuzzy decomposition method for performance evaluation of manufacturing systems. A model of a workcell with rework is used to describe the fuzzy decomposition method. Fuzzy logic is used as a gain scheduler in the search algorithm of the decomposition method. It is observed that fuzzy logic improves the convergence rate of the decomposition method substantially. The second application is a fuzzy flow controller that adjusts the production rate of a failure prone manufacturing system in order to minimize total inventory carrying and backorder costs while satisfying uncertain demand. As an extension of this model, adaptive fuzzy flow rate controller is discussed.