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Kaunas University of Technology, Lithuania

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The University of Texas at Arlington, United States

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National Taiwan University of Science and Technology, Taiwan, Province of China

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UPC Broadband Slovakia, Slovakia

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Brno University of Technology, Czech Republic

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Brno University of Technology, Czech Republic

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Ankara University, Turkey

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Institute of Medical Technology and Equipment, Poland

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VSB - Technical University of Ostrava, Czech Republic

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Academy of Sciences of the Czech Republic, Czech Republic

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University of Defence, Czech Republic

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Wroclaw University of Science and Technology, Poland

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Technical University of Kosice, Slovakia

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University of Economics in Katowice, Katowice, Poland

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Honeywell International, Czech Republic

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Ton Duc Thang University, Viet Nam

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Brno University of Technology, Czech Republic

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Delhi Technological University, India

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Shantou University, China

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VSB - Technical University of Ostrava, Czech Republic

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Tomas Bata University in Zlin, Czech Republic

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University of Defence, Czech Republic

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Technical University of Cluj Napoca, Romania

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National Research University "MPEI", Russian Federation

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Guanajuato University, Mexico

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University of West Bohemia in Plzen, Czech Republic

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Technical University of Cluj Napoca, Romania

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Warsaw University of Technology, Poland

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Isfahan University of Technology, Iran, Islamic Republic Of

Mauro Tropea
DIMES Department of University of Calabria, Italy

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Academy of Sciences of the Czech Republic, Czech Republic

Jiri Vodrazka
Czech Technical University in Prague, Czech Republic

Miroslav Voznak
VSB - Technical University of Ostrava, Czech Republic

He Wen
Hunan University, China

Otakar Wilfert
Brno University of Technology, Czech Republic


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A Model-Based Fuzzy Control of an Induction Motor

Daniela Perdukova, Pavol Fedor

DOI: 10.15598/aeee.v12i5.1229


Abstract

The paper presents a method of obtaining a simplified fuzzy model of an induction motor from measured data, without the necessity of preliminary knowledge of its internal structure and parameters. With the aim of avoiding a heuristic search for linguistic control rules, the paper presents one of the possibilities of the application of this method for an inverse fuzzy model based control. The proposed simplified fuzzy model of an induction motor was applied in the control of the desired torque of the drive with induction motor. Obtained results were first verified by simulation in programme Matlab and finally experimentally validated by measurements on an IC inverter–induction motor system. Simulation results and experimental measurements confirmed the correctness of the proposed fuzzy modelling and control method and its applicability also to other nonlinear dynamic systems.

Keywords


Fuzzy logic control; fuzzy modelling; induction motor; inverse fuzzy model.

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