Earticle

초록

영어

To reduce the impacts of harmonics and noises on frequency measurements, a novel method of frequency tracking is presented based on improved EKF algorithm and wavelet transform. Firstly, the power signal was preprocessed to extract the fundamental wave by wavelet filtering. Then, an improved Extended Kalman Filter was introduced to achieve fast and accurate frequency tracking. By adding a robust factor and modifying the covariance matrix in real time, it enhanced the stability for detecting distorted signals. The proposed tracking algorithm can effectively solve the problems of traditional Extended Kalman Filter such as lack of adaptability, instability and divergence. And it improved the tracking speed and accuracy. Finally, Detailed simulations on several typical models of power signals have been carried out and the Simulation results shown that the new algorithm increases the speed, convergence and accuracy. It effectively suppresses the impacts of harmonics and noises on the frequency tracking results.

목차

Abstract
 1. Introduction
 2. The Fundamental Frequency Tracking Algorithm
  2.1. Based on the Wavelet Transform Principle of Fundamental Wave Extraction
  2.2. The Frequency Tracking Algorithm Based on Improved Extended Kalman Filter
 3. The Numerical Simulation Experiments and Error Analysis
  3.1. Fundamental Wave Extraction Experiments
  3.2. Fundamental Wave Frequency Tracking Experiments
  3.3. Factors that affect the Tracking Error
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Zhang Xiaobing [ College of Measure-control Technology & Communication Engineering Harbin University of Science and Technology, Harbin, China ]
• Yang Mengchen [ College of Measure-control Technology & Communication Engineering Harbin University of Science and Technology, Harbin, China ]
• Yan Yixin [ College of Measure-control Technology & Communication Engineering Harbin University of Science and Technology, Harbin, China ]
• Fang Guozhi [ College of Measure-control Technology & Communication Engineering Harbin University of Science and Technology, Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605