Invertible singleton fuzzy models: Application to petroleum production control systems

dc.creatorMorles, E.C
dc.date.accessioned2018-01-11T16:47:17Z
dc.date.accessioned2022-10-21T00:05:36Z
dc.date.available2018-01-11T16:47:17Z
dc.date.available2022-10-21T00:05:36Z
dc.date.created2018-01-11T16:47:17Z
dc.date.issued2015-08-15
dc.identifier9781467376822
dc.identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84966601941&doi=10.1109%2fFSKD.2015.7382001&partnerID=40&md5=9cd52a3e631514e7e4d368a1b0a23be9
dc.identifierhttp://dspace.ucuenca.edu.ec/handle/123456789/29060
dc.identifier10.1109/FSKD.2015.7382001
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4621861
dc.description.abstractThis paper presents an identification approach based on invertible singleton fuzzy models in order to implement a control system for a progressive cavity pump-based petroleum production system, by using the inverse model control scheme. The identification proposal uses input-output process variables measurements and an off-line genetic algorithm, which is designed for guarantying the analytical calculation of the inverse model. Regarding the application of the genetic algorithm, three selection methods are evaluated: tournament selection, roulette wheel selection and linear rank selection. Once the fuzzy singleton model is identified, the controller design is a straightforward procedure. Computer simulations show the potential application of this kind of model in real industrial control processes.
dc.languageen_US
dc.publisherINSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
dc.source2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
dc.subjectGenetic Algorithm
dc.subjectInversion Of Fuzzy Models
dc.subjectProgressive Cavity Pumps
dc.subjectSingleton Fuzzy Models
dc.titleInvertible singleton fuzzy models: Application to petroleum production control systems
dc.typeArticle


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