Adaptive fuzzy logic controller for DC-DC converters

Authors:
Cetin Elmas;Omer Deperlioglu;Hasan Huseyin Sayan
Affiliations:
Department of Electric, Faculty of Technical Education, University of Gazi, 06500 Ankara, Turkey;Department of Electronics and Computer, Faculty of Technical Education, University of Afyon Kocatepe, 03300 Afyon, Turkey;Department of Electric, Faculty of Technical Education, University of Gazi, 06500 Ankara, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

Citing 5
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Abstract

This paper introduces a complete design method to construct an adaptive fuzzy logic controller (AFLC) for DC-DC converter. In a conventional fuzzy logic controller (FLC), knowledge on the system supplied by an expert is required for developing membership functions (parameters) and control rules. The proposed AFLC, on the other hand, do not required expert for making parameters and control rules. Instead, parameters and rules are generated using a model data file, which contains summary of input-output pairs. The FLC use Mamdani type fuzzy logic controllers for the defuzzification strategy and inference operators. The proposed controller is designed and verified by digital computer simulation and then implemented for buck, boost and buck-boost converters by using an 8-bit microcontroller.