000			02925cam a22003015i 4500
001			11443
003			IN-BhIIT
005			20260518112521.0
008			160428s2016 gw |||| o |||| 0|eng
020			_a9783319322001 (pbk.)
040			_aIN-BhIIT
041			_aeng
082	0	4	_a621.46 _bPEL/R
100	1		_aPellegrino, Gianmario, _eAuthor. _927529
245	1	4	_aThe rediscovery of synchronous reluctance and ferrite permanent magnet motors : _btutorial course notes / _cGianmario Pellegrino ... [et al].
260			_aSwitzerland : _bSpringer, _c2016.
300			_aviii,136 p. : _bill. ; _c22 cm.
490	1		_aSpringerBriefs in Electrical and Computer Engineering,
504			_aIncludes bibliographical references and index.
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			_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.
650		0	_aMotors _xElectric motors _927530
700	1		_aBianchi, Nicola, _eJoint author. _927531
700	1		_aCupertino, Francesco, _eJoint author. _927532
700	1		_aJahns, Thomas M, _eJoint author. _927533
700	1		_aSoong, Wen L, _eJoint author. _927534
942			_cTRB _03
999			_c15414 _d15414