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Tuning three-term controllers for power station processes

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dc.contributor.author Arvanitis, KG en
dc.contributor.author Pasgianos, GD en
dc.contributor.author Boglou, AK en
dc.date.accessioned 2014-06-06T06:46:50Z
dc.date.available 2014-06-06T06:46:50Z
dc.date.issued 2006 en
dc.identifier.issn 11092777 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/3232
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-33746891462&partnerID=40&md5=5dfa42d668d31525310f61e2d9888e40 en
dc.subject Controller tuning en
dc.subject Dead-time processes en
dc.subject Power plant control en
dc.subject Process control en
dc.subject.other Closed loop control systems en
dc.subject.other Electric power plants en
dc.subject.other Feedback control en
dc.subject.other Power control en
dc.subject.other Process control en
dc.subject.other Tuning en
dc.subject.other Controller tuning en
dc.subject.other Dead-time processes en
dc.subject.other Power plant control en
dc.subject.other Three term control systems en
dc.title Tuning three-term controllers for power station processes en
heal.type journalArticle en
heal.publicationDate 2006 en
heal.abstract This paper presents a new approach for tuning three-term control loops encountered in power station processes. The proposed approach is based on the Pseudo-Derivative Feedback (PDF) control configuration. Simple methods are presented for tuning the PDF controller for dead-time processes. The methods are based on appropriate manipulations of the exponential dead-time term in the denominator of the closed-loop transfer function for a servo problem, and, subsequently, on appropriately matching the coefficients of corresponding powers of s in the numerators of the resulting transfer functions and those in their denominators. This technique gives simple algebraic systems of equations for the controller parameters. Simulation results obtained from their application on power station processes show that our methods provide improved performance as compared to known PI/PID controller tuning methods as well as sufficient robustness against parametric uncertainty. en
heal.journalName WSEAS Transactions on Systems en
dc.identifier.issue 9 en
dc.identifier.volume 5 en
dc.identifier.spage 2069 en
dc.identifier.epage 2078 en


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