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教授与蒙特雷理工学院（ITESM）的Rogelio Soto教授和Jose M. Sanchez教授的合作。提出的研究重点是基于模糊逻辑的智能控制策略的发展，用于制造自动化的应用，特别是单元制造过程自主运行的控制策略的发展。重点将放在应用领域，其中单位制造过程的复杂性，以及涉及的子系统之间的相互作用的数量，排除常规控制工程方法的应用。将人类操作员的活动与单元制造过程的操作相结合，需要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。由多个相互作用的子系统组成。目前的控制理论技术主要集中在线性系统上，并不是为这类问题设计的最佳方法。研究人员的目标是表明，模糊逻辑作为经典逻辑的替代品，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。这一合作将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。