Fuzzy model based control: Application to an oil production separator

Abstract:

Classical fuzzy controllers have been of the rulebased type, where the rules in the controller attempt to model the response of an operator to a particular process situation. Based on the ability of fuzzy systems to approximate any nonlinear mapping, the nonlinear plant is represented by a zeroth-order Takagi Sugeno fuzzy model and it is analytically inverted for designing a fuzzy controller. In order to minimize the steady-state-error due to model-plant mismatch, an Internal Model Control (IMC) will be considered. The proposed fuzzy controller is applied to control the oil level in a production separator and is shown to be capable of providing good overall system performance. © 2008 IEEE.

Año de publicación:

2008

Keywords:

Fuente:

scopus