The rediscovery of synchronous reluctance and ferrite permanent magnet motors : tutorial course notes

• 作者： Pellegrino, Gianmario, author.
• 其他作者：
  • Jahns, Thomas M., author.
  • Bianchi, Nicola, author.
  • Soong, Wen L., author.
  • Cupertino, Francesco, author.
  • SpringerLink (Online service)
• 其他題名：
  • SpringerBriefs in electrical and computer engineering.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： SpringerBriefs in electrical and computer engineering,
• 主題： Electric motors, Synchronous. , Engineering. , Power Electronics, Electrical Machines and Networks. , Renewable and Green Energy. , Engineering Design.
• ISBN： 9783319322025 (electronic bk.) 、 9783319322001 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Overview 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.
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• 摘要註: This 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.
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