{"title":"A G2 framework for supervisory control of Ecosimpro experiments","authors":"J. Lozano, J.M. Sanchez, F. Mesa","doi":"10.1109/MELCON.2006.1653125","DOIUrl":null,"url":null,"abstract":"This document presents a framework for the supervision and control of processes using the expert system generator G2 and Ecosimpro, which is a powerful software for systems modelling and simulation. The special emphasis of this work is on the of generation experiments and on the supervision and control of modelling problems. This may be used as a previous study and testing of a real plant for the nominal operational conditions before to implement in it the G2 supervisory control toolkits. This paper proposes a real time optimization (RTO) architecture that links the intelligent features of G2 to the high-fidelity real-time Ecosimpro experiments via TCP/IP. The paper also describes its practical application to a system of thermal solar energy","PeriodicalId":299928,"journal":{"name":"MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.2006.1653125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This document presents a framework for the supervision and control of processes using the expert system generator G2 and Ecosimpro, which is a powerful software for systems modelling and simulation. The special emphasis of this work is on the of generation experiments and on the supervision and control of modelling problems. This may be used as a previous study and testing of a real plant for the nominal operational conditions before to implement in it the G2 supervisory control toolkits. This paper proposes a real time optimization (RTO) architecture that links the intelligent features of G2 to the high-fidelity real-time Ecosimpro experiments via TCP/IP. The paper also describes its practical application to a system of thermal solar energy