{"title":"完整解决了基于智能的多变量预测控制方案","authors":"A. H. Mazinan, M. Kazemi, J. Olamaei","doi":"10.1109/IEEEGCC.2011.5752562","DOIUrl":null,"url":null,"abstract":"A 160 MW drum-type boiler-turbine system has been selected in this paper for the purpose of dealing with through a new intelligence based multivariable predictive control (IBMPC) scheme. In the control strategy presented here, a multi-IBMPC scheme, which is developed in line with intelligence based identifier, is realized to drive a multi-multivariable model approach. Actually, a number of multivariable linear models of the system are accurately identified, at some chosen operating points, to organize the approach presented as well as its multivariable control schemes.","PeriodicalId":119104,"journal":{"name":"2011 IEEE GCC Conference and Exhibition (GCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A complete solution to intelligence based multivariable predictive control scheme\",\"authors\":\"A. H. Mazinan, M. Kazemi, J. Olamaei\",\"doi\":\"10.1109/IEEEGCC.2011.5752562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A 160 MW drum-type boiler-turbine system has been selected in this paper for the purpose of dealing with through a new intelligence based multivariable predictive control (IBMPC) scheme. In the control strategy presented here, a multi-IBMPC scheme, which is developed in line with intelligence based identifier, is realized to drive a multi-multivariable model approach. Actually, a number of multivariable linear models of the system are accurately identified, at some chosen operating points, to organize the approach presented as well as its multivariable control schemes.\",\"PeriodicalId\":119104,\"journal\":{\"name\":\"2011 IEEE GCC Conference and Exhibition (GCC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE GCC Conference and Exhibition (GCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEEGCC.2011.5752562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE GCC Conference and Exhibition (GCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEEGCC.2011.5752562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A complete solution to intelligence based multivariable predictive control scheme
A 160 MW drum-type boiler-turbine system has been selected in this paper for the purpose of dealing with through a new intelligence based multivariable predictive control (IBMPC) scheme. In the control strategy presented here, a multi-IBMPC scheme, which is developed in line with intelligence based identifier, is realized to drive a multi-multivariable model approach. Actually, a number of multivariable linear models of the system are accurately identified, at some chosen operating points, to organize the approach presented as well as its multivariable control schemes.
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