{"title":"基于状态估计的LQ最优控制在水电厂中的应用","authors":"N. Kishor, S. Singh, P. Sharma","doi":"10.1109/POWERI.2006.1632608","DOIUrl":null,"url":null,"abstract":"The state estimation of inelastic and elastic fifth-order state-space model of hydro plant is performed. The method adopted for state estimation is based on second-order polynomial approximations of a multi-dimensional interpolation formula. It is found that the state estimation of plant by this method outperforms to linear Kalman filter in terms of estimation. Then a state estimation based linear quadratic (LQ) approach for hydro turbine speed control is presented","PeriodicalId":191301,"journal":{"name":"2006 IEEE Power India Conference","volume":"199 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"State estimation based LQ optimal control in application to hydro plant\",\"authors\":\"N. Kishor, S. Singh, P. Sharma\",\"doi\":\"10.1109/POWERI.2006.1632608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The state estimation of inelastic and elastic fifth-order state-space model of hydro plant is performed. The method adopted for state estimation is based on second-order polynomial approximations of a multi-dimensional interpolation formula. It is found that the state estimation of plant by this method outperforms to linear Kalman filter in terms of estimation. Then a state estimation based linear quadratic (LQ) approach for hydro turbine speed control is presented\",\"PeriodicalId\":191301,\"journal\":{\"name\":\"2006 IEEE Power India Conference\",\"volume\":\"199 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Power India Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/POWERI.2006.1632608\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Power India Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERI.2006.1632608","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
State estimation based LQ optimal control in application to hydro plant
The state estimation of inelastic and elastic fifth-order state-space model of hydro plant is performed. The method adopted for state estimation is based on second-order polynomial approximations of a multi-dimensional interpolation formula. It is found that the state estimation of plant by this method outperforms to linear Kalman filter in terms of estimation. Then a state estimation based linear quadratic (LQ) approach for hydro turbine speed control is presented