{"title":"Process control: potential benefits and wasted opportunities","authors":"M. Brisk","doi":"10.1080/1448837X.2005.11464113","DOIUrl":null,"url":null,"abstract":"Seventeen years ago the University of Sydney Warren Centre's study demonstrated that introducing advanced control systems could potentially provide bottom-line benefits in the range of two to six percent of operating costs. Since then the process industry world-wide has reported many successful applications of a range of advanced control technologies which achieved, or exceeded, those benefits. There are now a plethora of multivariable predictive controls, inferential sensors, dynamic modelling tools, fuzzy logic algorithms, and neural networks, and we know how to use them. So does it follow that industry is consistently achieving the best possible process control performance and realizing all those potential benefits? The answer, unfortunately, is a depressing no! Recent studies have shown that only about a third of industrial controllers are achieving acceptable levels of performance, and this is especially true at the most basic levels of control, needed to underpin the advanced controls. Indeed, there are reported trends which suggest the gap between desired and actual controller performance is widening! This paper revisits the Warren Centre study and its benefits analysis methodology, and addresses the issues of actually achieving those benefits. This is shown to be more than just the introduction of advanced control technology. There is a need to re-focus on the humble - but vital PID controller, and the often overlooked issue of ensuring continued maintenance of the best performance of existing controls, if industry is to stop wasting the opportunities to gain those benefits.","PeriodicalId":169932,"journal":{"name":"2004 5th Asian Control Conference (IEEE Cat. No.04EX904)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 5th Asian Control Conference (IEEE Cat. No.04EX904)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/1448837X.2005.11464113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 31
Abstract
Seventeen years ago the University of Sydney Warren Centre's study demonstrated that introducing advanced control systems could potentially provide bottom-line benefits in the range of two to six percent of operating costs. Since then the process industry world-wide has reported many successful applications of a range of advanced control technologies which achieved, or exceeded, those benefits. There are now a plethora of multivariable predictive controls, inferential sensors, dynamic modelling tools, fuzzy logic algorithms, and neural networks, and we know how to use them. So does it follow that industry is consistently achieving the best possible process control performance and realizing all those potential benefits? The answer, unfortunately, is a depressing no! Recent studies have shown that only about a third of industrial controllers are achieving acceptable levels of performance, and this is especially true at the most basic levels of control, needed to underpin the advanced controls. Indeed, there are reported trends which suggest the gap between desired and actual controller performance is widening! This paper revisits the Warren Centre study and its benefits analysis methodology, and addresses the issues of actually achieving those benefits. This is shown to be more than just the introduction of advanced control technology. There is a need to re-focus on the humble - but vital PID controller, and the often overlooked issue of ensuring continued maintenance of the best performance of existing controls, if industry is to stop wasting the opportunities to gain those benefits.
17年前,悉尼大学沃伦中心(University of Sydney Warren Centre)的研究表明,引入先进的控制系统可能会在运营成本的2%至6%的范围内提供潜在的底线效益。从那时起,世界范围内的过程工业报告了许多成功应用的一系列先进的控制技术,这些技术达到或超过了这些好处。现在有大量的多变量预测控制、推理传感器、动态建模工具、模糊逻辑算法和神经网络,我们知道如何使用它们。那么,这是否意味着行业一直在实现最佳的过程控制性能,并实现所有这些潜在的好处?不幸的是,答案是一个令人沮丧的否定!最近的研究表明,只有大约三分之一的工业控制器达到了可接受的性能水平,尤其是在最基本的控制水平上,这需要支持高级控制。事实上,有报道的趋势表明,期望和实际控制器性能之间的差距正在扩大!本文回顾了沃伦中心的研究及其效益分析方法,并讨论了实际实现这些效益的问题。这表明不仅仅是引进先进的控制技术。如果工业要停止浪费获得这些好处的机会,就需要重新关注不起眼但至关重要的PID控制器,以及经常被忽视的确保持续维护现有控制最佳性能的问题。