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020 _a9789819606726
_9978-981-96-0672-6
024 7 _a10.1007/978-981-96-0672-6
_2doi
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
_2bicssc
072 7 _aTEC007000
_2bisacsh
072 7 _aTJFM
_2thema
100 1 _aSun, Xiaodong.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_989279
245 1 0 _aMulti-objective Design Optimization of Switched Reluctance Motor Drive Systems
_h[electronic resource] /
_cby Xiaodong Sun, Kaikai Diao, Gang Lei, Jianguo Zhu.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aVIII, 182 p. 97 illus., 88 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aChapter 1: Introduction -- Chapter 2: Fundamentals of Switched Reluctance Motors.-Chapter 3: Design Methods for Switched Reluctance Motors -- Chapter 4: Control Methods for Switched Reluctance Motors -- Chapter 5: Optimization Methods for Electrical Machines -- Chapter 6: Multi-Objective Deterministic Optimization Method for Switched Reluctance Motor Drive Systems -- Chapter 7: Multi-Objective Robust Optimization Method for Switched Reluctance Motor Drive Systems -- Chapter 8: Application-Oriented Optimization Method for Switched Reluctance Motor Drive Systems -- Chapter 9: Conclusions and Future Trends.
520 _aThis book presents the design optimization method for switched reluctance motors (SRMs) and drive systems. It covers an in-depth literature review on the status and potential trend of design optimization techniques for SRMs, including design theory, modeling methods, topologies, control methods, and techniques for optimization efficiency and effects. Readers will discover new design methods based on the specific nonlinear characteristics of SRMs, and multi-objective optimization methods for the design of high-quality switched reluctance drive systems without or with the consideration of uncertainties, i.e., the deterministic and robust approaches. Multi-mode design optimization method regarding SRMs is investigated and some examples are presented. In addition, some essential trends in design optimization development are presented and highlighted as future perspectives. This book benefits students, researchers, engineers, and companies in the field of electrical drive design and manufacturing. The focuses of this book are different from those of the published books. The advanced optimization methods including deterministic optimization, robust optimization, and system-level optimization are not discussed in these books. Besides, new design method based on the nonlinear characteristic and multi-mode optimization combined with specific application will be introduced to the design of high-performance of switched reluctance machines.
650 0 _aControl engineering.
650 0 _aRobotics.
_959148
650 0 _aAutomation.
_959149
650 0 _aSystem theory.
_966519
650 0 _aControl theory.
_968675
650 1 4 _aControl, Robotics, Automation.
650 2 4 _aSystems Theory, Control.
_968676
700 1 _aDiao, Kaikai.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_989280
700 1 _aLei, Gang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_989281
700 1 _aZhu, Jianguo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_989282
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819606719
776 0 8 _iPrinted edition:
_z9789819606733
776 0 8 _iPrinted edition:
_z9789819606740
856 4 0 _uhttps://doi.org/10.1007/978-981-96-0672-6
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c65899
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