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Analysis and Mathematical Models of Canned Electrical Machine Drives In Particular a Canned Switched Reluctance Machine

:	Qiang Yu, Xuesong Wang, Yuhu Cheng, Lisi Tian
:	Analysis and Mathematical Models of Canned Electrical Machine Drives In Particular a Canned Switched Reluctance Machine
:	Springer-Verlag
:	9789811327452
:	1
:	CHF 85.50
:

:	Elektronik, Elektrotechnik, Nachrichtentechnik
:	English

:	221
:	Wasserzeichen/DRM
:	PC/MAC/eReader/Tablet
:	PDF

This book focuses on the electromagnetic and thermal modeling and analysis of electrical machines, especially canned electrical machines for hydraulic pump applications. It addresses both the principles and engineering practice, with more weight placed on mathematical modeling and theoretical analysis. This is achieved by providing in-depth studies on a number of major topics such as: can shield effect analysis, machine geometry optimization, control analysis, thermal and electromagnetic network models, magneto motive force modeling, and spatial magnetic field modeling. For the can shield effect analysis, several cases are studied in detail, including classical canned induction machines, as well as state-of-the-art canned permanent magnet machines and switched reluctance machines.

The comprehensive and systematic treatment of the can effect for canned electrical machines is one of the major features of this book, which is particularly suited for readers who are interested in learning about electrical machines, especially for hydraulic pumping, deep-sea exploration, mining and the nuclear power industry. The book offers a valuable resource for researchers, engineers, and graduate students in the fields of electrical machines, magnetic and thermal engineering, etc.

Qiang Yu received his Ph.D. degree from University of Bundeswehr Muenchen, Munich, Germany in 2012. From 2008-2012 he was an engineer in FEAAM GmbH, Neubiberg, Germany, where he hosted the project 'design and analysis of high efficient canned switched reluctance machine drives for hydraulic pump drives', with KSB Aktiengesellschaft, Frankental, Germany. From 2013-2014 he was a postdoctoral research associate at Automotive Resource Center, McMaster University, Ontario, Canada, where he hosted the project 'high efficient rare-earth free machine drives'. From 2014-2015 he was a postdoctoral research fellow in Universite Libre de Bruxelles, Brussels, Belgium, with a European funded project 'DeMoTest EV' (Design, Modeling and Test of Electrical Vehicles). Currently he is an associate professor in School of Electrical and Power Engineering, China University of Mining and Technology. His main research interests include electromagnetic and thermal analysis of electrical machines, canned machine drives and mathematical modeling of electrical machines.

Xuesong Wang received her Ph.D. degree from China University of Mining and Technology in 2002. She is currently a professor in School of Information and Control Engineering, China University of Mining and Technology. Her main research interest includes electrical drives, bioinformatics, and artificial intelligence. In 2008, she was the recipient of the New Century Excellent Talents in University from the Ministry of Education of China.

Yuhu Cheng received his Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences in 2005. He is currently a professor in School of Information and Control Engineering, China University of Mining and Technology. His main research interest includes electrical drives and intelligent systems. In 2010, he was the recipient of the New Century Excellent Talents in University from the Ministry of Education of China.

Lisi Tian received his Ph.D. degree from Huazhong University of Science and Technology (HUST), China in 2015. He is currently with the School of Electrical and Power Engineering, China University of Mining and Technology. His main research interests include power electronics, electrical drives and fault diagnosis.

	Preface	5
	Acknowledgments	6
	Contents	7
	About the Authors	10
	List of Figures	12
	List of Tables	20
	Chapter 1: Overview of Canned Electrical Machines	22
	1.1 Background	22
	1.2 Research Overview	24
	1.2.1 Structural Topology	25
	1.2.2 Loss Analysis	26
	1.2.3 Thermal and Acoustic Analysis	27
	1.2.4 Review Summary	28
	1.3 Canned Switched Reluctance Machines	28
	1.4 Outline Summary	29
	References	31
	Chapter 2: Electromagnetic Analysis of Saliency and Can Effect by Network Models	33
	2.1 Flux Linkage Modeling of Switched Reluctance Machines	33
	2.2 A Discretized Circuit Network Model	36
	2.2.1 Modeling of Airgap Reluctance	36
	2.2.1.1 Non-overlap Positions	36
	2.2.1.2 Partial and Full Overlap Positions	38
	2.2.2 Modeling of Pole Reluctance	38
	2.2.3 Modeling of the End Part	40
	2.2.4 Calculation Flow	40
	2.2.5 Application Examples	41
	2.2.6 Can Loss Analysis	44
	2.3 Loss and Efficiency Analysis	49
	2.3.1 The Calculation Method	49
	2.3.1.1 Eddy Current Loss	51
	2.3.1.2 Hysteresis Loss	52
	2.3.1.3 Comparison and Discussion	54
	2.3.2 The Variable Loss Coefficients	55
	2.3.3 The Discretized Elements	57
	2.3.4 Verification and Discussion	59
	2.4 A Simplified Network Model	62
	2.4.1 The MEC-FE Model	62
	2.5 A Fitting Method for Airgap Reluctance	69
	2.6 Chapter Summary	73
	References	74
	Chapter 3: Electromagnetic Analysis of Can Effect of a Canned SRM	77
	3.1 Canned Switched Reluctance Machine and Operation Principles	77
	3.2 Eddy Current and Loss Features at Typical Rotor Positions	81
	3.2.1 Single Phase Excitation	81
	3.2.2 All-Phase Excitation	82
	3.3 Can Loss Variation of One Stroke Period	83
	3.4 Airgap Flux and Eddy Current Loss Due to the Use of Cans	86
	3.5 Experimental Validation	87
	Reference	90
	Chapter 4: An Analytical Model of Concentric Layer Structure for Canned Machines, Part I: Armature Coils	91
	4.1 Model Introduction	91
	4.2 Modeling of Winding Function	92
	4.2.1 Fourier Approach for a Single Turn of Wire	92
	4.2.2 Model of a Tooth Concentrated Coil with Wire Layout (Model 1)	96
	4.2.2.1 Simplified Model of a Tooth Concentrated Coil (Model 2)	104
	4.2.3 Model of One Coil in Distributed Topology	106
	4.2.4 Model of Coil Distribution	108
	4.3 Modeling of Phase Current	112
	4.4 Modeling of MMF Distribution	114
	4.4.1 Concentrated Coils	114
	4.4.2 Distributed Coils	116
	4.4.2.1 Sum of