{"title":"最优pi引线控制器设计","authors":"M.R. Issa, E. Barbieri","doi":"10.1109/SSST.1996.493530","DOIUrl":null,"url":null,"abstract":"The design of an optimal MIMO PI-lead controller is described for linear, time-invariant systems. The authors consider the linear quadratic regulator (LQR) design framework as a means of optimally selecting the gains of the controller. Therefore, the controller is designed by solving a steady state algebraic Riccati equation. The performance between the PID and optimal PI-lead controllers is illustrated and compared through an example. Simulations and implementations of the controllers are done using the MATLAB and SIMULINK software packages.","PeriodicalId":135973,"journal":{"name":"Proceedings of 28th Southeastern Symposium on System Theory","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1996-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Optimal PI-lead controller design\",\"authors\":\"M.R. Issa, E. Barbieri\",\"doi\":\"10.1109/SSST.1996.493530\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The design of an optimal MIMO PI-lead controller is described for linear, time-invariant systems. The authors consider the linear quadratic regulator (LQR) design framework as a means of optimally selecting the gains of the controller. Therefore, the controller is designed by solving a steady state algebraic Riccati equation. The performance between the PID and optimal PI-lead controllers is illustrated and compared through an example. Simulations and implementations of the controllers are done using the MATLAB and SIMULINK software packages.\",\"PeriodicalId\":135973,\"journal\":{\"name\":\"Proceedings of 28th Southeastern Symposium on System Theory\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 28th Southeastern Symposium on System Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.1996.493530\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 28th Southeastern Symposium on System Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.1996.493530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The design of an optimal MIMO PI-lead controller is described for linear, time-invariant systems. The authors consider the linear quadratic regulator (LQR) design framework as a means of optimally selecting the gains of the controller. Therefore, the controller is designed by solving a steady state algebraic Riccati equation. The performance between the PID and optimal PI-lead controllers is illustrated and compared through an example. Simulations and implementations of the controllers are done using the MATLAB and SIMULINK software packages.
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