GOALI: An Integrated Framework for Stiction Detection and Compensation in Control Loops

GOALI：控制环路中的粘滞检测和补偿的集成框架

• 批准号: 0553992
• 负责人: Raghunathan Rengasamy
• 金额: --
• 依托单位: Clarkson University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2009-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0553992&HistoricalAwards=false
• 关键词: GOALI; Integrated; Framework; Stiction; Detection

ABSTRACTPI: Raghunatha Rengasamy and Randy Miller Institution: Clarkson UniversityProposal Number: 0553992Title: An Integrated Framework for Stiction Detection and Compensation in Control LoopsProject SummaryThis NSF GOALI project is a joint effort between Clarkson University and Honeywell, USA for the development and implementation of controller performance monitoring techniques. The last decade has seen the emergence and commercialization of on-line control loop performance-monitoring techniques. The primary objectives of any performance-monitoring tool can be categorized as: (i) detection of performance degradation, (ii) diagnosis of the cause for performance degradation, and (iii) corrective action. While the first objective has been addressed comprehensively in the literature, work on the other two objectives is lacking. In this project, the focus will be on oscillation diagnosis, stiction detection, and stiction compensation. Quantitative and qualitative techniques will be explored for solving these problems. Through industrial collaboration with Honeywell, all the techniques that are developed will be extensively validated on one million industrial control loops.Intellectual Merit: Shape-based and model-based algorithms will be developed for stiction diagnosis. The scalability issues in the deployment of these algorithms will be studied through benchmarking on a million industrial control loop dataset. The development of both model-free and model-based stiction-compensation algorithms are envisaged. Preliminary results suggest that highly optimal compensation signals can be designed with benign valve movements for stiction compensation. Broader Impact: This work will generate tools that can be leveraged by the US process industries to maintain their competitive edge. Results arising out of the project will provide Honeywell with a performance assessment tool that can be benchmarked on a large database of loop data and subsequently implemented on a wide variety of control loops. It has been estimated that detection and diagnosis of control loop degradation alone could reduce energy cost of the overall process industry by 1% which could amount to as much as $300 million per year. This could be a driving force for other control vendors to embrace and develop their own controller performance monitoring tools. The dissemination activities include: publication in archival journals, presentation at conferences targeted at academicians and industry participants, and inclusion of material in a book on fault diagnosis that the PI is co-authoring. A laboratory experiment will be upgraded at Clarkson University and will be used to teach undergraduate students the concept of Controller Performance Assessment. The PI will work closely with Clarkson's Pipeline of Education Program to recruit talented underrepresented students from universities with which Clarkson has established articulation agreements and/or memorandums of understanding.

摘要：Raghunatha Rengasamy和Randy Miller Institation：Clarkson University Propopals编号：0553992TITLE：一个综合框架，用于控制LOOOPSPROPTARIGHT POGORSI POGALI POGALI POGANI POGANI POGATION中的NSF Goali Project是Clarkson University and Clarkson University和Honeywell，美国Clarkwell，美国霍尼韦尔（Clarkson University of Clarkson University and Honeywell），用于开发和实施绩效技术，该项目的共同努力。 在过去的十年中，在线控制循环性能监控技术的出现和商业化。 任何性能监控工具的主要目标都可以归类为：（i）检测性能降解，（ii）诊断性能降解原因，以及（iii）纠正措施。 尽管文献中已经全面解决了第一个目标，但缺乏对其他两个目标的工作。 在这个项目中，重点将放在振荡诊断，陈述检测和陈述补偿上。 将探索定量和定性技术来解决这些问题。 通过与霍尼韦尔的工业合作，所有开发的技术将在100万个工业控制循环中得到广泛的验证。智能优点：基于形状的和基于模型的算法将开发用于限定诊断。这些算法的部署中的可伸缩性问题将通过在百万个工业控制循环数据集的基准测试中进行研究。设想了无模型和基于模型的陈述算法的开发。 初步结果表明，可以通过良性阀门运动来设计高度最佳的补偿信号。更广泛的影响：这项工作将生成美国流程行业可以利用其竞争优势的工具。 该项目产生的结果将为Honeywell提供绩效评估工具，该工具可以在大型循环数据数据库中进行基准测试，然后在各种控制循环中实现。据估计，仅对控制回路降解的检测和诊断可以将整个过程行业的能源成本降低1％，每年可能高达3亿美元。 这可能是其他控制供应商拥抱和开发自己的控制器性能监控工具的推动力。 传播活动包括：档案期刊上的出版物，针对院士和行业参与者的会议的演讲，以及在一本关于PI共同创作的过失诊断的书中包含材料。 克拉克森大学将升级实验室实验，并将用于教科学生的控制器绩效评估的概念。 PI将与Clarkson的教育计划紧密合作，以招募来自Clarkson建立明确协议和/或谅解备忘录的大学的有才华的人才不足的学生。