Adaptive fuzzy control applied to a fermentation system of continuous alcohol flow

Abstract

The FRMLC, Fuzzy Reference Model Learning Control has been studied as a method for tuning fuzzy controllers. Its performance has been evaluated in a fermentation system with continuous alcohol fl ow which is characterized as a non lineal dynamics. Parameters vary with time in non lineal dynamics. A method of innovative tuning was employed which implicates a Matlab development that facilitates the study of the control technique FRMLC. It allowed building tuning methodologies for the application of that technique in different processes.

Keywords

• controller
• fuzzy logic
• adaptive control
• inference
• inverse model
• strategy of tuning