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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.12 No.2
- 발행연도
- 2017.3
- 수록면
- 769 - 777 (9page)
이용수
초록· 키워드
오류제보하기
The research of air gap flux density has a significant effect on predicting and optimizing the structure parameters of electrical machines. In the paper, the air gap coefficient, leakage flux factor and saturation coefficient are first analytically expressed in terms of motor properties and structure parameters. Subsequently, the analytical model of average air gap flux density for surface-mounted permanent magnet synchronous machines is proposed with considering slotting effect and saturation. In order to verify the accuracy of the proposed analytical model, the experiment and finite element analysis (FEA) are used. It shows that the analytical results keep consistency well with the experimental result and FEA results, and the errors between FEA results and analytical results are less than 5% for SPM with high power. Finally, the analytical model is applied to optimizing the motor structure parameters. The optimal results indicate that the analytical calculation model provides a great potential to the machine design and optimization.
목차
Abstract
1. Introduction
2. Basic topology and analytical model
3. The New Analytical Calculation Method
4. Application
5. Conclusions
References
참고문헌 (14)
참고문헌 신청
Hwang Chang-Chou, Hung San-Shan, Liu Cheng- Tsung and Cheng Shih-Ping, “Optimal Design of a High Speed SPM Motor for Machine Tool Applications,” IEEE Trans. Magn., vol. 90, no. 1, pp. 2478-2481, 2014.
Marco Villani, Giuseppe Fabri, Luca Castellini, “High reliability permanent magnet brushless motor drive for aircraft application,” IEEE Trans. Ind. Electron., vol. 59, no. 5, pp. 2073-2081, 2012.
Hejra Msaddek, Stephane Brisset, Ali Mansouri and Hafedh Trabelsi, “Design and optimization of PMSM with outer rotor for electric vehicle,” in Proceedings of System,Signal & Device Conference, 2015.
Hwang Chang-Chou, Lyu Li-Yang, Liu Cheng-Tsung and Li Ping-Lun, “Optimal Design of an SPM Motor Using Genetic Algorithms and Taguchi Method,” IEEE Trans. Magn., vol. 44, no. 11, pp. 4325-4328, Nov. 2008.
N. Bianchi and S. Bolognani, “Design optimisation of electric motors by genetic algorithms,” in Proceedings of IEE Electr. Power Appl., vol. 145, no. 5, pp. 475-483, Sep. 1998.
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