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

摘要：项目负责人：Raghunatha Rengasamy和Randy Miller研究所：克拉克森大学提案号：0553992题目：控制环中粘着检测和补偿的集成框架项目摘要：该项目是克拉克森大学和美国霍尼韦尔公司为开发和实施控制器性能监测技术而共同努力的项目。在过去的十年中，在线控制回路性能监测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分类为：(i)检测性能下降，（ii）诊断性能下降的原因，以及（iii）纠正措施。虽然第一个目标已在文献中全面解决，但其他两个目标的工作缺乏。在这个项目中，重点将是振荡诊断，粘滞检测和粘滞补偿。定量和定性技术将探索解决这些问题。通过与霍尼韦尔的工业合作，所有开发的技术都将在100万个工业控制回路上得到广泛验证。智力优势：基于形状和基于模型的算法将被开发用于粘连诊断。这些算法部署中的可扩展性问题将通过对一百万个工业控制回路数据集进行基准测试来研究。展望了无模型和基于模型的伸缩补偿算法的发展。初步结果表明，采用良性的阀芯运动可以设计出高度优化的补偿信号来进行粘滞补偿。更广泛的影响：这项工作将产生美国加工工业可以利用的工具，以保持其竞争优势。该项目的结果将为霍尼韦尔提供一个性能评估工具，该工具可以在大型循环数据数据库中进行基准测试，并随后在各种控制循环中实施。据估计，仅控制回路退化的检测和诊断就可以使整个过程工业的能源成本降低1%，每年可达3亿美元。这可能会推动其他控制器供应商采用并开发自己的控制器性能监视工具。传播活动包括：在档案期刊上发表文章，在针对院士和行业参与者的会议上发表演讲，以及将材料纳入PI参与撰写的关于故障诊断的书中。克拉克森大学将升级一项实验室实验，并将用于教授本科生控制器性能评估的概念。PI将与克拉克森的教育管道项目密切合作，从与克拉克森建立了衔接协议和/或谅解备忘录的大学中招募有才华的代表性不足的学生。

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.