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 |
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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 |
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Conference
Conference | 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 |
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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