DocumentCode
37985
Title
Rigorous Design and Optimization of Brushless PM Motor Using Response Surface Methodology with Quantum-Behaved PSO Operator
Author
Zwe-Lee Gaing ; Cin-Hsien Lin ; Ming-Hsiao Tsai ; Min-Fu Hsieh ; Mi-Ching Tsai
Author_Institution
Dept. of Electr. Eng., Kao Yuan Univ., Kaohsiung, Taiwan
Volume
50
Issue
1
fYear
2014
fDate
Jan. 2014
Firstpage
1
Lastpage
4
Abstract
In this paper, a rigorous design of a brushless permanent-magnet (PM) motor with both lower cogging torque and higher efficiency, using response surface methodology (RSM) with a quantum-behaved PSO (QPSO) operator for a portable electric power drill application, has been presented. To decrease noise and vibration of a slotted PM motor, cogging torque must be reduced. Some skew techniques have obvious advantages of reducing cogging torque. In particular, the stepped equivalent model with its cost-effectiveness can be employed to design a high-performance PM motor for portable electric power drills in this paper. To find the most suitable combination of the geometric parameters of a brushless PM motor with skewed magnets to achieve the design goal, the RSM with a QPSO operator is employed. The 3-D finite element method (FEM) is employed as the tool for analyzing the cogging torque and performance of the proposed PM motor. The experimental results show that the proposed method can obtain the best combination of the geometric parameters for reducing the cogging torque and enhancing the operating efficiency.
Keywords
finite element analysis; particle swarm optimisation; permanent magnet motors; torque; 3D finite element method; brushless PM motor; cogging torque reduction; electric power drill; particle swarm optimisation; quantum-behaved PSO operator; response surface methodology; Brushless motors; Forging; Hysteresis motors; Permanent magnet motors; Power systems; Response surface methodology; Torque; Brushless permanent-magnet (PM) motor; cogging torque; finite element method (FEM);
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2013.2279672
Filename
6692911
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