NDLI: Design and control of electric machines utilizing a field reconstruction method

Content Provider	IEEE Xplore Digital Library
Author	Fahimi, B. Pekarek, S.
Copyright Year	2010
Description	Author affiliation: Purdue University 465 Northwestern Ave. West Lafayette, IN 47907-2035 (Pekarek, S.) \|\| University of Texas at Arlington 416 Yates Street Arlington, TX 76017 (Fahimi, B.)
Abstract	Accurate assessment of the electro-magneto-mechanical energy conversion process usually requires a multi-physics Finite Element (FEA) analysis. Since FE analysis is a time consuming numerical process, lumped parameter models, simplified equivalent magnetic circuits, and separated field analysis are usually used for design and control of electric motor and generator drives. This computational burden is particularly visible in the design of generators for wind energy harvest and motors for propulsion of electric and plug-in hybrid electric vehicles where significant field statistics are often used in the design process. Field Reconstruction Method (FRM) is a technique in which a minimal set of fields analysis are used to establish basis functions for the magnetic flux densities in the machine. Once the basis functions are establish, the performance of the machine is predicted under arbitrary speed and excitation. It has been shown that the FRM can reduce the computational time by two or three orders of magnitude while maintaining the same level of precision that is usually accomplished in a two dimensional FE analysis. Due to its high computational efficiency, FRM has created new opportunity for health monitoring, fault tolerant operation, and multi-physics design of electric machines. Over the past 6 years, this technique has been successfully applied to permanent magnet, induction, and reluctance motor drives. Accurate assessment of the electro-magneto-mechanical energy conversion process usually requires a multi-physics Finite Element (FEA) analysis. Since FE analysis is a time consuming numerical process, lumped parameter models, simplified equivalent magnetic circuits, and separated field analysis are usually used for design and control of electric motor and generator drives. This computational burden is particularly visible in the design of generators for wind energy harvest and motors for propulsion of electric and plug-in hybrid electric vehicles where significant field statistics are often used in the design process. Field Reconstruction Method (FRM) is a technique in which a minimal set of fields analysis are used to establish basis functions for the magnetic flux densities in the machine. Once the basis functions are establish, the performance of the machine is predicted under arbitrary speed and excitation. It has been shown that the FRM can reduce the computational time by two or three orders of magnitude while maintaining the same level of precision that is usually accomplished in a two dimensional FE analysis. Due to its high computational efficiency, FRM has created new opportunity for health monitoring, fault tolerant operation, and multi-physics design of electric machines. Over the past 6 years, this technique has been successfully applied to permanent magnet, induction, and reluctance motor drives.
Starting Page	1
Ending Page	2
File Size	34525
Page Count	2
File Format	PDF
ISBN	9781424452255
ISSN	1553572X
DOI	10.1109/IECON.2010.5675261
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in