OPTIMIZATON OF THE BRUSHLESS PERMANENT MAGNET MACHINES

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU88927" target="_blank" >RIV/00216305:26220/10:PU88927 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
OPTIMIZATON OF THE BRUSHLESS PERMANENT MAGNET MACHINES
Original language description
Target of this work is to find optimal dimensions and shape of permanent magnets to achieve minimal total harmonic distortion of Back EMF. This task is one of the essential parts of complex optimization of the whole machine. Target is to achieve maximumefficiency of SMPM using optimizing methods to minimize losses and increase output power of the machine. Optimizing process is based on application of artificial intelligence methods proven as suitable for solving such tasks. Method "SOMA - Self Organizing Migration Algorithm with strategy "All to One" has been selected. Using SPEED program as solver through ActiveX allows creating the optimization algorithm in several programming languages such as C, PASCAL, VB, and MATLAB.
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F09%2F1875" target="_blank" >GA102/09/1875: Analysis and Modelling of Low Voltage Electric Machines Parameters</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Low Voltage Electrical Machines 2010 Intenational conference
ISBN
978-80-214-4178-1
ISSN
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e-ISSN
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Number of pages
2
Pages from-to
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Publisher name
uvee fekt but
Place of publication
VUT Brno, FEEC
Event location
Šlapanice
Event date
Nov 8, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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