Resumen
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.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 |
| Editores | Zhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He |
| Editorial | Institute of Electrical and Electronics Engineers Inc. |
| Páginas | 547-552 |
| Número de páginas | 6 |
| ISBN (versión digital) | 9781467376822 |
| DOI | |
| Estado | Publicada - 13 ene. 2016 |
| Evento | 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China Duración: 15 ago. 2015 → 17 ago. 2015 |
Serie de la publicación
| Nombre | 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 |
|---|
Conferencia
| Conferencia | 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 |
|---|---|
| País/Territorio | China |
| Ciudad | Zhangjiajie |
| Período | 15/08/15 → 17/08/15 |
Nota bibliográfica
Publisher Copyright:© 2015 IEEE.
Areas de Conocimiento del CACES
- 827A Mantenimiento industrial
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