Magnet shape optimization of brushless machine by Self Organizing Migrating Algorithm.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU92512" target="_blank" >RIV/00216305:26220/11:PU92512 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Magnet shape optimization of brushless machine by Self Organizing Migrating Algorithm.
Original language description
The paper deals with AC motor optimization. Optimized machine is three phases 14kW Surface Mount Permanent Magnet (SMPM) machine intended to work with servo amplifier. The optimization is based on Self Organizing Migrating Algorithm SOMA with strategy All to One. Artificial intelligence algorithms are effective methods for searching global extremes of the objective functions. Target is to achieve maximum efficiency of SMPM, minimize losses and increase output power of the machine. As optimized parameters the diameters of magnet shape and length of air gap were chosen. The optimization algorithm is created in MATLAB, SPEED laboratory is used as solver, communication link is provided by ActiveX. Improved efficiency leads into reduced losses and lower temperature rise. Motor torque is calculated via a circular path integral of the Maxwell stress tensor in ANSYS program. The Maxwell stress tensor provides a convenient way of computing forces acting on bodies by evaluating a surface integra
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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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
III International Conference on Power Engineering, Energy and Electrical Drives
ISBN
978-1-4244-9843-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Malaga (Spain)
Event location
Torremolinos (Malaga)
Event date
May 11, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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