Title :
Grid computing and surrogate objective function assisted multi-objective shape optimal design of PMLSM
Author :
Song, Minho ; Yoon, Heesung ; Choi, Hong-Soon ; Koh, Chang Seop
Author_Institution :
Sch. of Electr. Eng., Chungbuk Nat. Univ., Cheongju, South Korea
Abstract :
A permanent magnet linear synchronous motor (PMLSM) is shape optimized in Pareto sense to get a minimum detent force and maximum thrust force per mass. In the optimization, a surrogate objective function is constructed with the help of grid computing technique by using Multi-quadric radial basis function to reduce the computing time related with finite element analysis.
Keywords :
Pareto optimisation; electric machine analysis computing; finite element analysis; grid computing; linear synchronous motors; machine theory; permanent magnet motors; radial basis function networks; PMLSM; Pareto optimisation; finite element analysis; grid computing technique; multiobjective shape optimal design; multiquadric radial basis function; permanent magnet linear synchronous motor; surrogate objective function; Data flow computing; Design optimization; Finite element methods; Grid computing; Internet; Mesh generation; Pareto optimization; Sampling methods; Shape; Synchronous motors;
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481041
