Invertible singleton fuzzy models: Application to petroleum production control systems
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Date
2015-08-15
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INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC.
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.
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Keywords
Genetic Algorithm, Inversion Of Fuzzy Models, Progressive Cavity Pumps, Singleton Fuzzy Models