应用于模块化系统的自稳定经济非线性模型预测控制

IF 3.9 2区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers & Chemical Engineering Pub Date : 2024-08-12 DOI:10.1016/j.compchemeng.2024.108825

San Dinh , Kuan-Han Lin , Fernando V. Lima , Lorenz T. Biegler

{"title":"应用于模块化系统的自稳定经济非线性模型预测控制","authors":"San Dinh , Kuan-Han Lin , Fernando V. Lima , Lorenz T. Biegler","doi":"10.1016/j.compchemeng.2024.108825","DOIUrl":null,"url":null,"abstract":"<div><p>Recent advances have been made in self-stabilizing Economic Nonlinear Model Predictive Control (eNMPC) formulation without pre-calculated setpoints, which leverages norm-based steady-state optimality conditions to enhance system robustness. To enable practical implementation, a generalized time-domain formulation is proposed, accommodating the discrete-time nature of control instrumentation and the continuous-time nature of first-principles models. A case study involving a modular membrane reactor illustrates the applicability of self-stabilizing eNMPC in real-world industrial scenarios.</p></div>","PeriodicalId":286,"journal":{"name":"Computers & Chemical Engineering","volume":"191 ","pages":"Article 108825"},"PeriodicalIF":3.9000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0098135424002436/pdfft?md5=8b403b007382040d0b4740bee0c66ae9&pid=1-s2.0-S0098135424002436-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Self-stabilizing economic nonlinear model predictive control applied to modular systems\",\"authors\":\"San Dinh , Kuan-Han Lin , Fernando V. Lima , Lorenz T. Biegler\",\"doi\":\"10.1016/j.compchemeng.2024.108825\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Recent advances have been made in self-stabilizing Economic Nonlinear Model Predictive Control (eNMPC) formulation without pre-calculated setpoints, which leverages norm-based steady-state optimality conditions to enhance system robustness. To enable practical implementation, a generalized time-domain formulation is proposed, accommodating the discrete-time nature of control instrumentation and the continuous-time nature of first-principles models. A case study involving a modular membrane reactor illustrates the applicability of self-stabilizing eNMPC in real-world industrial scenarios.</p></div>\",\"PeriodicalId\":286,\"journal\":{\"name\":\"Computers & Chemical Engineering\",\"volume\":\"191 \",\"pages\":\"Article 108825\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0098135424002436/pdfft?md5=8b403b007382040d0b4740bee0c66ae9&pid=1-s2.0-S0098135424002436-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers & Chemical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0098135424002436\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0098135424002436","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}

引用次数: 0

摘要

最近，无预计算设定点的自稳定经济非线性模型预测控制（eNMPC）配方取得了进展，该配方利用基于规范的稳态优化条件来增强系统的鲁棒性。为便于实际应用，我们提出了一种广义的时域公式，以适应控制仪器的离散时间特性和第一原理模型的连续时间特性。一项涉及模块化膜反应器的案例研究说明了自稳定 eNMPC 在实际工业场景中的适用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Self-stabilizing economic nonlinear model predictive control applied to modular systems

Recent advances have been made in self-stabilizing Economic Nonlinear Model Predictive Control (eNMPC) formulation without pre-calculated setpoints, which leverages norm-based steady-state optimality conditions to enhance system robustness. To enable practical implementation, a generalized time-domain formulation is proposed, accommodating the discrete-time nature of control instrumentation and the continuous-time nature of first-principles models. A case study involving a modular membrane reactor illustrates the applicability of self-stabilizing eNMPC in real-world industrial scenarios.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Computers & Chemical Engineering 工程技术-工程：化工

CiteScore

8.70

自引率

14.00%

发文量

374

审稿时长

70 days

期刊介绍： Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.