지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.12
- 수록면
- 280 - 284 (5page)
이용수
초록· 키워드
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This paper presents a method for evaluating interior permanent magnet synchronous motor (IPMSM) performance over the entire operation region. Using a d-q axis equivalent circuit model consisting of motor parameters such as the permanent magnetic flux, copper resistance, core loss resistance, and d-q axis inductance, a conventional mathematical model of an IPMSM has been developed. It is well understood that in IPMSMs, magnetic operating conditions cause cross saturation and that the iron loss resistance ? upon which core losses depend ? changes according to the motor speed; for the sake of convenience, however, d-q axis machine models usually neglect the influence of magnetic cross saturation and assume that the iron loss resistance is constant. This paper proposes an analysis method based on considering a magnetic cross saturation and estimating a core loss resistance that changes with the operating conditions and speed. The proposed method is then verified by means of a comparison between the computed and the experimental results.
목차
1. Introduction
2. Modified D-Q Equivalent Circuit Model
3. Introduction Evaluation for Magnetic Cross Saturation
4. Description of Proposed Analysis Method
5. Analysis Results and Discussion
6. Conclusion
References
참고문헌 (10)
참고문헌 신청
S. Morimoto / 1994 / IEEE Trans. Ind. Electron 41:511
Dong-Kyun Woo / 2012 / Optimal Rotor Structure Design of Interior Permanent Magnet Synchronous Machine based on Efficient Genetic Algorithm Using Kriging Model / Journal of Electrical Engineering & Technology 7(4):530~537
B. Stumberger / 1999 / IEEE Trans. Energy Conv 14:1413
S. Kim / 2006 / Proc. IEEE - IAS Annu. Meeting 2006:1933
L. Chedot / 2004 / Proc. IEEE - IAS Annu. Meeting 2004 :64
Dong-Kyun Woo / 2012 / Optimal Rotor Structure Design of Interior Permanent Magnet Synchronous Machine based on Efficient Genetic Algorithm Using Kriging Model / Journal of Electrical Engineering & Technology 7(4):530~537
B. Stumberger / 1999 / IEEE Trans. Energy Conv 14:1413
S. Kim / 2006 / Proc. IEEE - IAS Annu. Meeting 2006:1933
L. Chedot / 2004 / Proc. IEEE - IAS Annu. Meeting 2004 :64
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