Invertible singleton fuzzy models: application to petroleum production control systems.
- Format
- Article
- Status
- publishedVersion
- Description
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.
- Publication Year
- 2015
- Language
- eng
- Topic
- COMPUTATIONAL MODELING
GENETIC ALGORITHMS
MATHEMATICAL MODEL
- Repository
- Repositorio SENESCYT
- Rights
- openAccess
- License
- closedAccess