Affiliations: [a] Department of Electrical Engineering, Kao-Yuan
University, Kaohsiung County, Taiwan | [b] New Widetech Industries Co. Ltd, Taipei County,
Taiwan
Correspondence:
[*]
Corresponding author: Zwe-Lee Gaing, Department of Electrical
Engineering, Kao-Yuan University, 821 Kaohsiung County, Taiwan, Republic of
China. Tel.: +886 7 6077282; Fax: +886 7 6077009; E-mail:
[email protected]
Abstract: In this paper, using the fuzzy-inference Taguchi method with
multiple performance characteristics index (MPCI), a novel systematic approach
is employed to obtain the robust design of a brushless permanent-magnet (PM)
hub motor with both lower torque ripple factor and higher efficiency. According
to the geometric parameters of the PM motor, we select the controllable factors
and their levels, such as the permanent magnet thickness in rotor, air-gap
width, opening slot width and slot tooth width at stator. The proposed method
first establishes the orthogonal array (OA) that is required by the Taguchi
method. Then, the multiple targets are coordinated by the fuzzy inference
mechanism to obtain the better combination of the geometric parameters for
achieving multiple quality targets. Finite element method (FEM) is employed as
the tool for analyzing the torque ripple and performance of the PM motor, and
results have indicated that the proposed method can obtain the suitable motor's
geometric parameters for reducing the cogging torque and enhancing the
operating efficiency.
Keywords: Hub motor, cogging torque, finite element method, taguchi method, multiple performance characteristics index
