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
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 783 - 787 (5page)
이용수
초록· 키워드
오류제보하기
This paper introduces Extended Kalman Filter (EKF) as a selective harmonic extraction algorithm. In this study the fundamental and harmonic components (amplitude, phase and frequency) variants are synchronously estimated and tracked in less than a cycle using Extended Kalman Filter. On-line and fast extraction and tracking of the fundamental and harmonic components is the major advantage of this approach. Performance of this technique is verified by simulation in Simulink<SUP>®</SUP>/Matlab<SUP>®</SUP>. The proposed approach is tested for 2 different cases. In the first case the objective is to track the amplitude variants and the second case’s aim is to extract and track the fundamental and selective harmonics phases. The simulation results show the effectiveness of this method in selective harmonic components extraction. So the methodology is useful and applicable for a wide range of equipment where elimination of certain harmonics is of concern like uninterrupted power supplies, regenerative converters, active power filters, etc.
목차
Abstract
1. INTRODUCTION
2. SIGNAL MODEL
3. EXTENDED KALMAN FILTER
4. SIMULATION RESULTS
5. DISCUSSION
6. CONCLUSION
REFERENCES
참고문헌 (0)
참고문헌 신청이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2014-569-000913554