DocumentCode
1881715
Title
An Enhanced Field Reconstruction Method for Design of Permanent Magnet Synchronous Machines
Author
Deken, B. ; Pekarek, S. ; Fahimi, B.
Author_Institution
Southeast Missouri State Univ., Cape Girardeau, MO
fYear
2007
fDate
9-12 Sept. 2007
Firstpage
169
Lastpage
174
Abstract
Knowledge of forces within permanent magnet synchronous machines (PMSMs) is of interest in numerous applications. To compute the forces, many analysts utilize the finite element (FE) method to compute the vector fields followed by the Maxwell stress tensor (MST) approach to calculate forces from the fields. Although the FE/MST approach has been used for decades, it does have a shortcoming in the computational requirement of the FE method, which limits the approach to a tool for analysis rather than for comprehensive machine design. To address this, a new so-called Enhanced Field Reconstruction Technique (EFRT) has been developed. Using the EFRT, the fields inside a machine are computed using a minimum number of FE evaluations. Using the results, a set of basis functions are established that enable the calculation of forces inside the machine under arbitrary excitation and rotor position. The EFRT greatly reduces the computational effort required to compute the vector forces inside machines with an accuracy similar to the FE method.
Keywords
design engineering; finite element analysis; permanent magnet machines; synchronous machines; Maxwell stress tensor approach; enhanced field reconstruction method; finite element method; machine design; permanent magnet synchronous machines; Acoustic noise; Computer applications; Design methodology; Finite element methods; Magnetic forces; Permanent magnet machines; Reconstruction algorithms; Stator windings; Tensile stress; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicle Power and Propulsion Conference, 2007. VPPC 2007. IEEE
Conference_Location
Arlington, TX
Print_ISBN
978-0-7803-9760-6
Electronic_ISBN
978-0-7803-9761-3
Type
conf
DOI
10.1109/VPPC.2007.4544119
Filename
4544119
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