Title :
Shape Optimization of a Large-Scale BLDC Motor Using an Adaptive RSM Utilizing Design Sensitivity Analysis
Author :
Shin, Pan Seok ; Kim, Han-Deul ; Chung, Gyo-Bum ; Yoon, Hee Sung ; Park, Gwan-Soo ; Koh, Chang Seop
Author_Institution :
Hongik Univ., Chungnam
fDate :
4/1/2007 12:00:00 AM
Abstract :
This paper proposes a new algorithm for the shape optimization of a large-scale brushless dc (BLDC) motor to reduce the cogging torque. In the algorithm, an adaptive response surface method (RSM) using the multiquadric radial basis function is employed to interpolate the objective function in design parameter space, and incorporated with (1+1) evolution strategy to find an optimal point. In the adaptive RSM, an adaptive sampling point insertion method is developed utilizing the design sensitivities computed by using the finite-element method to get a reasonable response surface with a relatively small number of sampling points. The developed algorithm is applied to the shape optimization of a 5-MW BLDC motor, and the cogging torque was reduced to 17% of the initial one
Keywords :
brushless DC motors; design engineering; radial basis function networks; response surface methodology; sampling methods; sensitivity analysis; torque; adaptive response surface method; adaptive sampling point insertion method; brushless DC motors; cogging torque reduction; design sensitivity analysis; large-scale BLDC motor; multiquadric radial basis function; objective functions; shape optimization; Brushless DC motors; DC motors; Design optimization; Forging; Large-scale systems; Response surface methodology; Sampling methods; Sensitivity analysis; Shape; Torque; Brushless dc motor; cogging torque; design sensitivity; optimization; permanent magnet (PM); response surface method (RSM);
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2006.892260
