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Title: Three-dimensional finite element magnetic field computations and performance simulation of brushless dc motor drives with skewed permanent magnet mounts

Miscellaneous ·
OSTI ID:7075457

A three dimensional finite element (3D-Fe) method for the computation of global distributions of 30 magnetic fields in electric machines containing permanent magnets is presented. The formulation of this 3D-Fe method is based on a coupled magnetic vector potential-magnetic scalar potential (CMVP-MSP) approach. In this CMVP-MSP method, the modeling and formulations of permanent magnet volumes, suited to first and second order MVP 3D-Fe environments as well as first order MSP 3D-FE environment, are developed in this dissertation. The development of the necessary 3D-FE grids and algorithms for the application of the CMVP=MSP method to an example brushless dc motor, whose field is three dimensional due to the skewed permanent magnet mounts on its rotor, is also given here. It should be mentioned that the entire volume of the case-study machine from one end to another is considered in the global magnetic field computations. A complete set of results of application of the CMVP-MSP method to the computation of the global 3D field distributions and associated motor parameters under no-load and load conditions are presented in this dissertation. In addition, a complete simulation of the dynamic performance of the motor drive system using the parameters obtained from the 3D-FE field solutions are presented for no-load and various other load conditions. All the above mentioned results and experimentally verified by corresponding oscillograms obtained in the laboratory. These results are also compared with results obtained from motor parameters based on various 2D-FE approaches, showing that for certain types of skewed permanent magnet mounts, 3D-FE based parameters can make significant qualitative and quantitative improvements in motor-drive simulation results.

Research Organization:
Clarkson Univ., Potsdam, NY (United States)
OSTI ID:
7075457
Resource Relation:
Other Information: Thesis (Ph.D.)
Country of Publication:
United States
Language:
English