Invertible singleton fuzzy models: Application to petroleum production control systems
This 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...
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | Ecuador |
| Institución: | Universidad de Cuenca |
| Repositorio: | Repositorio Universidad de Cuenca |
| OAI Identifier: | oai:dspace.ucuenca.edu.ec:123456789/29060 |
| Acceso en línea: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966601941&doi=10.1109%2fFSKD.2015.7382001&partnerID=40&md5=9cd52a3e631514e7e4d368a1b0a23be9 http://dspace.ucuenca.edu.ec/handle/123456789/29060 |
| Access Level: | acceso abierto |
| Palabra clave: | Genetic Algorithm Inversion Of Fuzzy Models Progressive Cavity Pumps Singleton Fuzzy Models |
| Sumario: | This 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. |
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