Adaptive fuzzy control applied to a fermentation system of continuous alcohol flow
Keywords:controller, fuzzy logic, adaptive control, inference, inverse model, strategy of tuning, learning
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.
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