Intelligent Control Laboratory

智能控制实验室

• 批准号: 9950310
• 负责人: Ali Zilouchian
• 金额: $ 5.83万
• 依托单位: Florida Atlantic University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-08-01 至 2002-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9950310&HistoricalAwards=false
• 关键词: Intelligent; Control; Laboratory

The project objective is the construction of an interdisciplinary undergraduate intelligent control laboratory. The laboratory is based on the adaptation of recent advances in soft computing design techniques such as Neural Networks (NN), Fuzzy Logic (FL) and Neurofuzzy algorithms. The laboratory design emphasizes creating experiments that are based on industrial applications. Industrial design ideas, concepts and innovative techniques that have already been utilized and demonstrated in a fully automated electronic assembly factory are to be incorporated into the laboratory design. The project includes learning experiences in several different processes, represented by stations in the laboratory, including DC Servo Systems, Heat Trainers, Inverted Pendulums, X-Y Tables and Visual Component Inspection Stations. Each station contains a microcomputer with A/D, D/A , Frame Grabber interfaces and six experimental setups. The effect of design performance, robustness, cycle time and other design parameters are to be investigated by the undergraduate students.The use of a digital computer with soft computing capability in a real-time control loop reflects the rapidly increasing use of these techniques for industrial applications.

本项目的目标是建设一个跨学科的本科智能控制实验室。 该实验室基于软计算设计技术的最新进展，如神经网络（NN），模糊逻辑（FL）和神经模糊算法。 实验室设计强调创建基于工业应用的实验。工业设计理念，概念和创新技术，已被利用和全自动电子组装工厂的演示将被纳入实验室设计。 该项目包括在几个不同的过程中学习经验，在实验室中的站，包括直流伺服系统，热训练器，倒立摆，X-Y表和视觉组件检测站代表。每个站包含一个微型计算机与A/D，D/A，图像采集卡接口和六个实验设置。设计性能，鲁棒性，周期时间和其他设计参数的影响将由本科生进行调查。在实时控制回路中使用具有软计算能力的数字计算机反映了这些技术在工业应用中的快速增长。