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Minimization of Cogging Torque in Permanent Magnet Motors by Stator Pole Shoe Pairing and Magnet Arc Design using Genetic Algorithm  

Eom, Jae-Bu ((주)LG전자 DAC 연구소)
Hwang, Geon-Yong (부산대 공대 기계설계공학부)
Hwang, Sang-Mun (부산대 공대 기계공학부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers B / v.51, no.1, 2002 , pp. 1-6 More about this Journal
Abstract
Cogging torque is often a principal source of vibration and acoustic noise in high precision spindle motor applications. In this paper, cogging torque is analytically calculated using energy method to show that Fourier spectra of airgap permeance function and airgap MMF function are the most important design parameters to control cogging torque. To control these functions, stator pole shoe pairing and magnet arc design are proposed to minimize cogging torque. As for optimization technique, genetic algorithm is applied to handle trade-off effects of design parameters. Results show that the proposed method can reduce the cogging torque effectively.
Keywords
airgap MMF function; airgap permeance function; cogging torque; genetic algorithm;
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