04311nam a22005775i 4500 978-981-96-0672-6 DE-He213 20251030114630.0 cr nn 008mamaa 241220s2024 si | s |||| 0|eng d 9789819606726 978-981-96-0672-6 10.1007/978-981-96-0672-6 doi TJ212-225 TJ210.2-211.495 TJFM bicssc TEC007000 bisacsh TJFM thema Sun, Xiaodong. author. aut http://id.loc.gov/vocabulary/relators/aut 89279 Multi-objective Design Optimization of Switched Reluctance Motor Drive Systems [electronic resource] / by Xiaodong Sun, Kaikai Diao, Gang Lei, Jianguo Zhu. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. VIII, 182 p. 97 illus., 88 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Chapter 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. This 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. Control engineering. Robotics. 59148 Automation. 59149 System theory. 66519 Control theory. 68675 Control, Robotics, Automation. Systems Theory, Control. 68676 Diao, Kaikai. author. aut http://id.loc.gov/vocabulary/relators/aut 89280 Lei, Gang. author. aut http://id.loc.gov/vocabulary/relators/aut 89281 Zhu, Jianguo. author. aut http://id.loc.gov/vocabulary/relators/aut 89282 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819606719 Printed edition: 9789819606733 Printed edition: 9789819606740 https://doi.org/10.1007/978-981-96-0672-6 ZDB-2-INR ZDB-2-SXIT 65899 65899