DocumentCode :
7379
Title :
Topology Optimization of Rotor Core Combined With Identification of Current Phase Angle in IPM Motor Using Multistep Genetic Algorithm
Author :
Okamoto, Yuji ; Tominaga, Yoriko ; Wakao, Shinji ; Sato, Seiki
Author_Institution :
Dept. of Electr. & Electron. Syst. Eng., Utsunomiya Univ., Utsunomiya, Japan
Volume :
50
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
725
Lastpage :
728
Abstract :
This paper derives an effective shape of the flux barrier in an interior permanent magnet (IPM) motor. IPM motors generally have many design parameters such as the current phase angle, shape of the rotor and stator´s iron core, and shape and position of the magnet. The flux barrier plays an important role in controlling torque characteristics. We apply topology optimization (TO) to the rotor core using a multistep genetic algorithm to determine an effective flux barrier. Furthermore, we extend the TO to combinatorial optimization for considering its effect on the current phase angle. Thus, a reasonable flux barrier with an optimal phase angle is determined.
Keywords :
combinatorial mathematics; design engineering; genetic algorithms; magnetic flux; permanent magnet motors; rotors; stators; topology; torque; IPM motor; TO; combinatorial optimization; current phase angle; effective flux barrier shape; interior permanent magnet motor; multistep genetic algorithm; optimal phase angle; rotor core; rotor shape; stator iron core; topology optimization; torque characteristic control; Genetic algorithms; Magnetic cores; Optimization; Permanent magnet motors; Rotors; Topology; Torque; Flux barrier; genetic algorithm (GA); interior permanent magnet (IPM) motor; multistep scheme; parallel computing;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2013.2285580
Filename :
6749018
Link To Document :
بازگشت