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dc.contributor.authorBuele, Jorge-
dc.contributor.authorRíos-Cando, Paulina-
dc.contributor.authorBrito, Geovanni-
dc.contributor.authorMoreno-P, Rodrigo-
dc.contributor.authorSalazar, Franklin-
dc.date.accessioned2022-06-28T21:40:34Z-
dc.date.available2022-06-28T21:40:34Z-
dc.date.issued2020-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-030-58817-5_27-
dc.identifier.urihttp://repositorio.uti.edu.ec//handle/123456789/3357-
dc.description.abstractThe industrial welding industry has a high energy consumption due to the heating processes carried out. The heat treatment furnaces used for reheating equipment made of steel require a good regulator to control the temperature at each stage of the process, thereby optimizing resources. Considering dynamic and variable temperature behavior inside the oven, this paper proposes the design of a temperature controller based on a Takagi-Sugeno-Kang (TSK) fuzzy inference system of zero order. Considering the reaction curve of the temperature process, the plant model has been identified with the Miller method and a subsequent optimization based on the descending gradient algorithm. Using the conventional plant model, a TSK fuzzy model optimized by the recursive least square’s algorithm is obtained. The TSK fuzzy controller is initialized from the conventional controller and is optimized by descending gradient and a cost function. Applying this controller to a real heat treatment system achieves an approximate minimization of 15 min with respect to the time spent with a conventional controller. Improving the process and integrated systems of quality management of the service provided. © 2020, Springer Nature Switzerland AG.es
dc.language.isoenges
dc.publisherLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12254 LNCS, Pages 351 - 366. 20th International Conference on Computational Science and Its Applications, ICCSA 2020. Cagliari. 1 July 2020 through 4 July 2020es
dc.rightsopenAccesses
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es
dc.titleTemperature Controller Using the Takagi-Sugeno-Kang Fuzzy Inference System for an Industrial Heat Treatment Furnacees
dc.typearticlees
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