Engineering Research Equipment Grant: Microprocessor-based controllers

工程研究设备补助金：基于微处理器的控制器

• 批准号: 8905917
• 负责人: Edward Kenney
• 金额: $ 8万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-07-15 至 1990-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8905917&HistoricalAwards=false
• 关键词: Engineering; Research; Equipment; Grant; Microprocessor

Within recent years, the United States' excess electrical generating capacity has diminished. In order to provide a dependable supply of electricity in the face of less generating margin, responsiveness, availability, and reliability of existing power plants need to be improved. To provide this improvement, a Bailey NETWORK 90 distributed microprocessor based control system is requested which will be interfaced with other computer capabilities at Penn State in order to create a multi-user laboratory for research in the field of intelligent distributed control for electric power generation. The new and unique research laboratory will be attuned with the current evolutionary trend in commercial power plant dynamic control system organization. In addition to digital forms of classical control algorithms, the full capabilities of digital control systems depend on implementation of advanced software applications: automation of routine equipment monitoring, process fault diagnostics, effective and reliable communication, rule-based programming, and modern control algorithms. The research need is to fully develop these software capabilities in the distributed control environment in order to achieve the desired improvement in power plant performance. Advanced control research for electric power generation requires an interdisciplinary approach and researchers from the Electrical, Mechanical, Industrial, and Nuclear Engineering departments will be involved.

近年来，美国过剩的发电能力有所减少。为了在发电裕度较低的情况下提供可靠的电力供应，需要提高现有发电厂的响应性、可用性和可靠性。为了提供这一改进，需要一个基于Bailey网络90分布式微处理器的控制系统，该系统将与宾夕法尼亚州立大学的其他计算机能力接口，以便创建一个多用户实验室，用于发电智能分布式控制领域的研究。新的、独特的研究实验室将与当前商业电厂动态控制系统组织的演变趋势相适应。除了数字形式的经典控制算法外，数字控制系统的全部能力还取决于高级软件应用程序的实施：常规设备监控、过程故障诊断、有效和可靠的通信、基于规则的编程和现代控制算法的自动化。研究的需要是在分布式控制环境中充分开发这些软件功能，以达到预期的电厂性能改善。发电的高级控制研究需要跨学科的方法，来自电气、机械、工业和核工程部门的研究人员将参与其中。