U.S.-Mexico Collaborative Research: Intelligent Control in Manufacturing Via a Fuzzy Logic Based Approach

美国-墨西哥合作研究：通过基于模糊逻辑的方法实现制造中的智能控制

• 批准号: 9303198
• 负责人: John Yen
• 金额: $ 1.42万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-07-01 至 1996-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9303198&HistoricalAwards=false
• 关键词: U.S.; Mexico; Collaborative; Research; Intelligent

This Americas Program award will support Prof. John Yen and Prof. Reza Langari of Texas A&M Engineering Experiment Station in collaboration with Prof. Rogelio Soto and Prof. Jose M. Sanchez, both of the Instituto Tecnologico de Monterrey (ITESM). The proposed research focuses on the development of fuzzy logic based intelligent control strategies for applications in manufacturing automation and specifically in the development of control strategies for autonomous operation of unit manufacturing processes. The emphasis will be on application areas where the complexity of the unit manufacturing process, and the amount of interaction among the subsystems involved, preclude the application of conventional control engineering methods. Integration of the activities of human operators in relation to the operation of unit manufacturing processes requires the ability to control rather complex large scale systems These systems are generally nonlinear, from a dynamical subsystems standpoint, and are made up of multiple interacting subsystems. Current techniques in control theory, primarily focused on linear systems, are not optimally designed for this category of problems. The researchers aim to show that fuzzy logic, an alternative to classical logic, provides a viable means for dealing with the reality of manufacturing process control in that it enables one to deal more effectively with the issue of complexity that inevitably arises in this context. This collaboration should bring together well- established research teams in both countries to solve management and control problems of complex manufacturing systems.

该美洲项目奖将支持德克萨斯 A&M 工程实验站的 John Yen 教授和 Reza Langari 教授与蒙特雷技术学院 (ITESM) 的 Rogelio Soto 教授和 Jose M. Sanchez 教授合作。 所提出的研究重点是开发基于模糊逻辑的智能控制策略，用于制造自动化应用，特别是开发用于单元制造过程自主操作的控制策略。 重点将放在单元制造过程的复杂性以及所涉及的子系统之间的交互量妨碍传统控制工程方法的应用的应用领域。 与单元制造过程的操作相关的人类操作员的活动的集成需要具有控制相当复杂的大规模系统的能力。从动态子系统的角度来看，这些系统通常是非线性的，并且由多个相互作用的子系统组成。 当前的控制理论技术主要集中于线性系统，并未针对此类问题进行最佳设计。 研究人员旨在表明，模糊逻辑作为经典逻辑的替代方案，为处理制造过程控制的现实提供了一种可行的方法，因为它使人们能够更有效地处理在这种情况下不可避免地出现的复杂性问题。 这种合作应该汇集两国成熟的研究团队来解决复杂制造系统的管理和控制问题。