{"title":"The Research of Simulation Technology in Nuclear Power Plant and the Application of Fuzzy Control in Temperature Control System","authors":"Jian-Hua Ye, Hua-Yan Ji","doi":"10.1109/WISM.2010.167","DOIUrl":null,"url":null,"abstract":"On the foundation of studying the simulation platform of nuclear power, we use the graphical modeling technology to upgrade the control system of the platform. The subject based on the average temperature control system simulation diagram of nuclear power plant to design its graphical modeling picture, and based on the actual control requirements to set the parameters of each module, then achieve the graphical modeling upgrade of the average Secondly, Finally this paper analyses the average temperature control system of nuclear power plant and then considers using fuzzy control technology to improve the control performance. Using the output curve which get from the simulator to summarize fuzzy control rules. After the three processes of fuzzy, fuzzy reasoning and de-fuzzy, we achieve the design of fuzzy control.","PeriodicalId":119569,"journal":{"name":"2010 International Conference on Web Information Systems and Mining","volume":"4 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Web Information Systems and Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISM.2010.167","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
On the foundation of studying the simulation platform of nuclear power, we use the graphical modeling technology to upgrade the control system of the platform. The subject based on the average temperature control system simulation diagram of nuclear power plant to design its graphical modeling picture, and based on the actual control requirements to set the parameters of each module, then achieve the graphical modeling upgrade of the average Secondly, Finally this paper analyses the average temperature control system of nuclear power plant and then considers using fuzzy control technology to improve the control performance. Using the output curve which get from the simulator to summarize fuzzy control rules. After the three processes of fuzzy, fuzzy reasoning and de-fuzzy, we achieve the design of fuzzy control.