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Multi Objective Optimization of the Surface Mounted Permanent Magnet Machine in Order to Achieve the Desired Output Parameters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU94773" target="_blank" >RIV/00216305:26220/11:PU94773 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi Objective Optimization of the Surface Mounted Permanent Magnet Machine in Order to Achieve the Desired Output Parameters

  • Original language description

    This paper deals with the results of the multiobjective optimization for the surface mounted permanent magnet machine. The main targets of the optimization are to propose the optimization procedure and to derive the fitness function relative to the output of the machine parameters. By using these optimization procedures, the efficiency maximum should be achieved in order to minimize losses and increase output power of the machine. The Self - Organizing Migrating Algorithm (SOMA) was used for the optimization. The optimization algorithm was created in MATLAB, the software SPEED laboratory was used as solver, the communication link was provided by the ActiveX direction.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    XI. International Conference Proceeding on Low Voltage Electrical Machines

  • ISBN

    978-80-214-4362-4

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1-4

  • Publisher name

    UVEE

  • Place of publication

    Brno

  • Event location

    Šlapanice

  • Event date

    Nov 7, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article