Helpdesk

Top image

Editorial board

Juraj Altus
University of Zilina, Slovakia

Darius Andriukaitis
Kaunas University of Technology

Alexander Argyros
The University of Sydney, Australia

Radu Arsinte
Technical University of Cluj Napoca, Romania

Ivan Baronak
Slovak University of Technology, Slovakia

Dalibor Biolek
University of Defence, Czech Republic

Klara Capova
University of Zilina, Slovakia

Ray-Guang Cheng
National Taiwan University of Science and Technology, Taiwan, Province of China

Erik Chromy
UPC Broadband Slovakia, Slovakia

Frantisek Cvachovec
University of Defence, Czech Republic

Annraoi M de Paor
University College Dublin, Ireland

Milan Dado
University of Zilina, Slovakia

Zdenek Divis
VSB - Technical University of Ostrava, Czech Republic

Petr Drexler
Brno University of Technology, Czech Republic

Pavel Fiala
Brno University of Technology, Czech Republic

Eva Gescheidtova
Brno University of Technology, Czech Republic

Valeria Hrabovcova
University of Zilina, Slovakia

Gokhan Hakki Ilk
Ankara University, Turkey

Rene Kalus
VSB - Technical University of Ostrava, Czech Republic

Ivan Kasik
Academy of Sciences of the Czech Republic, Czech Republic

Vladimir Kasik
VSB - Technical University of Ostrava, Czech Republic

Jan Kohout
University of Defence, Czech Republic

Pavel Koktavy
Brno University of Technology, Czech Republic

Ondrej Krejcar
University of Hradec Kralove, Czech Republic

Igor Piotr Kurytnik
University of Bielsko-Biala, Poland

Miroslaw Luft
Technical University of Radom, Poland

Stanislav Marchevsky
Technical University of Kosice, Slovakia

Luigi Martirano
University of Rome "La Sapienza", Italy

Jerzy Mikulski
University of Economics in Katowice, Katowice, Poland

Karol Molnar
Honeywell International, Czech Republic

Miloslav Ohlidal
Brno University of Technology, Czech Republic

Ibrahim Taner Okumus
Sutcu Imam University, Turkey

Milos Orgon
Slovak University of Technology, Slovakia

Marek Penhaker
VSB - Technical University of Ostrava, Czech Republic

Wasiu Oyewole Popoola
The University of Edinburgh, United Kingdom

Roman Prokop
Tomas Bata University in Zlin, Czech Republic

Karol Rastocny
University of Zilina, Slovakia

Marie Richterova
University of Defence, Czech Republic

Gheorghe Sebestyen-Pal
Technical University of Cluj Napoca, Romania

Sergey Vladimirovich Serebriannikov
National Research University "MPEI", Russian Federation

Yuriy Shmaliy
Guanajuato University, Mexico

Vladimir Schejbal
University of Pardubice, Czech Republic

Bohumil Skala
University of West Bohemia in Plzen, Czech Republic

Lorand Szabo
Technical University of Cluj Napoca, Romania

Adam Szelag
Warsaw University of Technology, Poland

Ahmadreza Tabesh
Isfahan University of Technology, Iran, Islamic Republic Of

Mauro Tropea
DIMES Department of University of Calabria, Italy

Pavel Vaclavek
Brno University of Technology, Czech Republic

Martin Vaculik
University of Zilina, Slovakia

Viktor Valouch
Academy of Sciences of the Czech Republic, Czech Republic

Vladimir Vasinek
VSB - Technical University of Ostrava, Czech Republic

Jiri Vodrazka
Czech Technical University in Prague, Czech Republic

Miroslav Voznak
VSB - Technical University of Ostrava, Czech Republic

Otakar Wilfert
Brno University of Technology, Czech Republic


Home Search Mail RSS


Performance Evaluation of Three-Leg Voltage Source Inverter Fed Unsymmetrical Two-Phase Induction Motor Based on Genetic Algorithm for Parameter Estimation

Prayad Kongsuk, Vijit Kinnares, Phunyaphat Phumiphak

DOI: 10.15598/aeee.v17i4.3405


Abstract

This paper presents an evaluation method of performance characteristics in terms of loss, currents and electromagnetic torque of an unsymmetrical two-phase induction motor driven by a three-leg Voltage Source Inverter (VSI) providing unbalanced two-phase voltages. The model parameters for consideration of loss and dynamic performance of the motor are estimated by using Genetic Algorithm (GA). Also, synthesized winding current waveforms based on a~superposition method and frequency domain of known harmonic voltages are investigated. The methodology of the proposed GA applied to parameter estimation of the unsymmetrical two-phase induction motor is fully given. Carrier-based unbalanced Space Vector Pulse With Modulation (SVPWM) is employed and implemented on a~low-cost microcontroller. In order to prove the validity of the model with the parameters obtained by GA, performance comparison with the experiment and the model with the parameters obtained by conventional test in laboratory has been made. The results of simulation with the proposed parameters and experiment are in good agreement.

Keywords


Genetic algorithm; parameter estimation; three-leg voltage source inverter; unsymmetrical two-phase induction motor.

Full Text:

PDF