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020 _a9783319322025
040 _aES-MaUEC
050 4 _aTK2787
_b.P455 2016
082 0 4 _a621.317
100 1 _aPellegrino, Gianmario.
_999185
_0Local
245 1 4 _aThe Rediscovery of Synchronous Reluctance and Ferrite Permanent Magnet Motors :
_bTutorial Course Notes
_cby Gianmario Pellegrino, Thomas M Jahns, Nicola Bianchi, Wen Soong, Francesco Cupertino
260 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (VIII, 136 páginas)
_b129 ilustraciones, 47 ilustraciones en color
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aSpringerBriefs in Electrical and Computer Engineering
_x2191-8112
505 0 _aOverview of PM/Reluctance Synchronous Machine Opportunities and Challenges -- Synchronous Reluctance and PM Assisted Reluctance Motors -- PM Machine Modelling and Design -- Identification of PM Synchronous Machines Parameters for Design and Control Purposes -- Automated Design of Synchronous Reluctance Motors.
520 3 _aThis book offers an essential compendium on the analysis and design of synchronous motors for variable-speed applications. Focusing on synchronous reluctance and ferrite permanent-magnet (PM) synchronous reluctance machines, it provides a broad perspective on three-phase machines for variable speed applications, a field currently dominated by asynchronous machines and rare-earth PM synchronous machines. It also describes synchronous reluctance machines and PM machines without rare-earth materials, comparing them to state-of-the-art solutions. The book provides readers with extensive information on and finite element models of PM synchronous machines, including all relevant equations and with an emphasis on synchronous-reluctance and PM-assisted synchronous-reluctance machines. It covers ferrite-assisted machines, modeled as a subcase of PM-assistance, fractional slot combinations solutions, and a quantitative, normalized comparison of torque capability with benchmark PM machines. The book discusses a wealth of techniques for identifying machine parameters, with an emphasis on self-commissioning algorithms, and presents methods for automated machine design and optimization, including a software tool developed for this purpose. Addressing an important gap in the field of PM-less and less-PM electrical machines, it is intended as a self-contained reference guide for both graduate students and professional machine designers, and as a useful text for university courses on automated and/or optimized design of electrical machines and drives.
710 2 _aSpringerLink (Online service)
_0Local
_9106996
942 _2lcc
_cLE
988 _aEBOOK, asignarmaterias , EBSPRINGER
650 7 _aRecursos energéticos renovables
_2embne
_9143912
650 0 7 _aIngeniería
_2embne
_9670301
700 1 _aJahns, Thomas M.
_999186
_0Local
700 1 _aBianchi, Nicola
_0Local
_999187
700 1 _aSoong, Wen.
_999188
_0Local
700 1 _aCupertino, Francesco
_0Local
_999189
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-32202-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319322025
907 _a.b12951705
_b10-10-17
_c21-11-16
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945 _aTK2787 .P455 2016 EB
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