DocumentCode :
75186
Title :
Nonlinear Scaling Rules for Brushless PM Synchronous Machines Based on Optimal Design Studies for a Wide Range of Power Ratings
Author :
Yao Duan ; Ionel, Dan M.
Author_Institution :
FMC Technol., Houston, TX, USA
Volume :
50
Issue :
2
fYear :
2014
fDate :
March-April 2014
Firstpage :
1044
Lastpage :
1052
Abstract :
A large-scale unitary study for a generic topology of surface-mounted permanent-magnet brushless motors operated from sine-wave current-regulated drives is described. A parametric motor model employing eight independent variables is introduced. A wide range of power ratings, from 1 kW to 1 MW, and a large spread of physical dimensions, with a stator inner (air-gap) diameter as low as 50 mm and as high as 500 mm, were considered. A sensitivity analysis based on the response surface method was performed, and a differential evolution algorithm was applied to find the optimal solutions for different power ratings. A computationally efficient finite-element analysis ultrafast technique was employed in order to calculate the performance of approximately 30 000 candidate machine designs within a reasonable time. The study provides rules for scaling the machine main design parameters with the power rating in order to achieve minimum active material cost per point of efficiency.
Keywords :
brushless machines; finite element analysis; motor drives; permanent magnet motors; sensitivity analysis; FEA; air-gap; brushless PM synchronous machines; differential evolution algorithm; finite-element analysis ultrafast technique; generic topology; independent variables; large-scale unitary study; nonlinear scaling rules; optimal design studies; parametric motor model; physical dimensions; power 1 kW to 1 MW; power ratings; response surface method; sensitivity analysis; sine-wave current-regulated drives; surface-mounted permanent-magnet brushless motors; Air gaps; Brushless motors; Optimization; Sociology; Statistics; Stator windings; Design methodology; optimization methods; permanent-magnet machines;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2013.2277612
Filename :
6576133
Link To Document :
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