A Bio-inspired knowledge system for improving combined cycle plant control tuning

Título

dc.contributor.author	Calvo Rolle, José L.
dc.contributor.author	Corchado Rodríguez, Emilio Santiago
dc.date.accessioned	2017-09-05T10:59:31Z
dc.date.available	2017-09-05T10:59:31Z
dc.date.issued	2014
dc.identifier.citation	Neurocomputing. Volumen 126, pp. 95-105. Elsevier BV.
dc.identifier.issn	0925-2312 (Print)
dc.identifier.uri	http://hdl.handle.net/10366/134306
dc.description.abstract	This study presents a novel bio-inspired knowledge system, based on closed loop tuning, for calculating the Proportional-Integral-Derivative (PID) controller parameters of a real combined cycle plant. The aim is to automatically achieve the best parameters according to the work point and the dynamics of the plant. To this end, several typical expressions and systems were taken into account to build the model for this multidisciplinary study. Each of these expressions is appropriated for a particular system. The novel method is empirically verified under a real case study based on an auxiliary steam system of a combined cycle plant.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Elsevier BV
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	A Bio-inspired knowledge system for improving combined cycle plant control tuning
dc.type	info:eu-repo/semantics/article
dc.rights.accessRights	info:eu-repo/semantics/openAccess