Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 |
| Editors | Zhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 547-552 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781467376822 |
| DOIs | |
| State | Published - 13 Jan 2016 |
| Event | 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China Duration: 15 Aug 2015 → 17 Aug 2015 |
Publication series
| Name | 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 |
|---|
Conference
| Conference | 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 |
|---|---|
| Country/Territory | China |
| City | Zhangjiajie |
| Period | 15/08/15 → 17/08/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- genetic algorithm
- inversion of fuzzy models
- progressive cavity pumps
- Singleton fuzzy models
CACES Knowledge Areas
- 827A Industrial maintenance
Fingerprint
Dive into the research topics of 'Invertible singleton fuzzy models: Application to petroleum production control systems'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver