Intelligent Cell Engineering and Control: A Neural Network Approach

智能细胞工程与控制：神经网络方法

• 批准号: 9414332
• 负责人: Fengshan Chen
• 金额: $ 4.96万
• 依托单位: University of Louisiana at Lafayette
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-01-15 至 1995-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9414332&HistoricalAwards=false
• 关键词: Intelligent; Cell; Engineering; Control; Neural

9414332 Chen This research investigates an approach that will enable advances in design and control technologies for advanced manufacturing systems. The purpose of this research is twofold: (1) to design and develop a neural network based decision support system for use in design and configuration of advanced manufacturing cells and cell control systems, and (2) to explore an intelligent shop floor control framework for on-line scheduling and control of Flexible Manufacturing Systems. This innovative new design and operation methodology will be illustrated through an implementation exercise, at laboratory settings, in controlling a cluster of computer workstation which simulates the stochastic operating characteristics of shop-floor manufacturing machinery/equipment. The intelligent shop floor control scheme constitutes an integrated environment with innovative cell control techniques which will not only assure that feasible control actions be taken but also that the continuously improved control decisions be implemented as cell operation time goes by.

小行星9414332 本研究探讨了一种方法，将使先进制造系统的设计和控制技术的进步。 本研究的目的有二：（1）设计与发展一个以神经网路为基础的决策支援系统，以应用于先进制造单元与单元控制系统的设计与组态;（2）探索一个智慧型的车间控制架构，以应用于柔性制造系统的线上排程与控制。 这种创新的新设计和操作方法将说明通过实施练习，在实验室设置，在控制一组计算机工作站，模拟车间制造机械/设备的随机操作特性。 智能车间控制方案与创新的单元控制技术构成了一个集成环境，它不仅保证采取可行的控制措施，而且随着单元操作时间的推移，不断改进的控制决策也将得到实施。