Induction Motor Optimal Design by Use of Cartesian Product

Authors

  • N. Zablodskiy Donbas State Technical University, Alchevsk
  • J. Lettl Czech Technical University in Prague, Praha
  • V. Pliugin Donbas State Technical University, Alchevsk
  • K. Buhr Czech Technical University in Prague, Praha
  • S. Khomitskiy Donbas State Technical University, Alchevsk

Abstract

The problem of the automated calculation
and optimal design of an induction motor is presented.
Given and decided tasks of optimization by use of Cartesian
product are introduced. The analysis of the obtained results
is made.

Author Biographies

N. Zablodskiy, Donbas State Technical University, Alchevsk

Automation of electro-technical systems

J. Lettl, Czech Technical University in Prague, Praha

Faculty of Electrical Engineering

V. Pliugin, Donbas State Technical University, Alchevsk

Automation of electro-technical systems

K. Buhr, Czech Technical University in Prague, Praha

Faculty of Electrical Engineering

S. Khomitskiy, Donbas State Technical University, Alchevsk

Automation of electro-technical systems

References

I.P. Norenkov. Automated design. М.: Informatics in an educational University, 2000. - 188 p.

G.V. Reklaitis, A. Ravindran, K.M. Ragsdell. Engineering

optimization. Methods and applications, part 1. Aerospace and mechanical university of Arizona.- JW&So, 1983. – 351p.

N.K. Vereshchagin, A. Shen. Lectures on mathematical logic and theory of algorithms. Beginning of sets theory. MCNMO, 2008. – 198p.

Three-phase induction machine. Ansoft Maxwell Field Simulator V12 – Training Manual, 2009. – 59 p.

Ansoft Maxwell 2D - Electromagnetic and Electromechanical Analysis: user’s guide. Ansoft corporation, 2009. – 334 p.

Ansoft Maxwell 3D - Electromagnetic and Electromechanical Analysis: user’s guide. Ansoft corporation, 2009. – 871 p.

N. Zablodskiy, V. Pliugin, K. Buhr. CAD of electromechanic devices: educational tutorial, part 2, 2013. - 330 p. (will be printed).

N. Zablodskiy, V. Pliugin, K. Buhr, J. Bauer. Induction motor design with the using of genetic optimization algorithms (will be printed).

Downloads

Published

2020-03-30

Issue

Section

Articles