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        Analysis of Electric Machinery and Drive Systems (2nd Edition) 
        
	  by: Paul C. Krause, Oleg Wasynczuk, Scott D. Sudhoff, Paul C. Krause, Oleg Wasynczuk, Scott D. Sudhoff  
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	  Review
"This theoretical text is a concise and condensed reference...suitable for a senior or graduate level course in electric machines. It is also recommended as an excellent reference guide..." (IEEE Electrical Insulation Magazine)
Book Description
An updated approach to reference frame analysis of electric machines and drive systems 
Since the first edition of Analysis of Electric Machinery was published, the reference frame theory that was detailed in the book has become the universally accepted approach for the analysis of both electric machines and electric drive systems. Now in its second edition, Analysis of Electric Machinery and Drive Systems presents, in one resource, the application of this theory to the analysis, simulation, and design of the complete drive system including the machine, converter, and control. 
Supplemented with more than 325 figures, this book also covers: 
Analysis of converters used in electric drive systems, as well as DC, induction, and brushless DC motor drives 
Detailed treatment of supervisory down to switch level converter controls 
Nonlinear average value modeling of converters and drive systems 
Operational impedances and reduced-order modeling 
Guidelines for computer simulation of machines and drive systems  
Complete with condensed, quick-reference treatments of necessary theoretical material, Analysis of Electric Machinery and Drive Systems, Second Edition is appropriate as a senior- and graduate-level text as well as an invaluable resource for electrical, mechanical, and systems engineers in the electric machinery and drives areas.
  
From the Back Cover 
An updated approach to reference frame analysis of electric machines and drive systems  
Since the first edition of Analysis of Electric Machinery was published, the reference frame theory that was detailed in the book has become the universally accepted approach for the analysis of both electric machines and electric drive systems. Now in its second edition, Analysis of Electric Machinery and Drive Systems presents, in one resource, the application of this theory to the analysis, simulation, and design of the complete drive system including the machine, converter, and control. 
  
Supplemented with more than 325 figures, this book also covers: 
  
Analysis of converters used in electric drive systems, as well as DC, induction, and brushless DC motor drives  
Detailed treatment of supervisory down to switch level converter controls  
Nonlinear average value modeling of converters and drive systems  
Operational impedances and reduced-order modeling  
Guidelines for computer simulation of machines and drive systems 
Complete with condensed, quick-reference treatments of necessary theoretical material, Analysis of Electric Machinery and Drive Systems, Second Edition is appropriate as a senior- and graduate-level text as well as an invaluable resource for electrical, mechanical, and systems engineers in the electric machinery and drives areas.
   
About the Author 
PAUL C. KRAUSE is Professor of Electrical Engineering at Purdue University. He is a Fellow of the IEEE and has authored or coauthored more than 100 technical papers. He also coauthored Analysis of Electric Machinery and Electromechanical Motion Devices. 
  
OLEG WASYNCZUK is Professor of Electrical and Computer Engineering at Purdue University. He has authored or coauthored more than 50 technical papers and is the coauthor of Analysis of Electric Machinery and Electromechanical Motion Devices. 
  
SCOTT D. SUDHOFF is Professor of Electrical and Computer Engineering at Purdue University and associate editor of the IEEEs Transactions on Energy Conversion. He has authored or coauthored more than 40 journal papers and 40 conference papers, including three prize papers. He also holds patents in the areas of solid-state distribution transformers and the stability of power electronicsbased systems.  
	  
        
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