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Classical fuzzy controllers have been of the rule-based 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.