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OPTIMIZATION THE DYNAMICAL PARAMETERS OF THREE PHASE INDUCTION MOTOR USING GENETIC ALGORITHM

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU98444" target="_blank" >RIV/00216305:26220/12:PU98444 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    OPTIMIZATION THE DYNAMICAL PARAMETERS OF THREE PHASE INDUCTION MOTOR USING GENETIC ALGORITHM

  • Original language description

    Abstract- This paper deals with the optimization of the induction motor designs with respect to torque as a dynamical parameter. Most studies on the design of an induction motor using optimization techniques are concerned with the minimization of the motor cost and describe the optimization technique that was employed, giving the results of a single (or several) optimal design(s).Procedure includes the relationship between torque of motor and other effects as they occur in an optimal design.The optimization method that was used in this paper is Differential Evolution as genetic algorithm. Optimal results are in picture as curves or in tabula.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Academic Journals

  • ISSN

    1897-0737

  • e-ISSN

  • Volume of the periodical

    2012

  • Issue of the periodical within the volume

    72

  • Country of publishing house

    PL - POLAND

  • Number of pages

    8

  • Pages from-to

    123-128

  • UT code for WoS article

  • EID of the result in the Scopus database