MAGNITUDE AND FREQUENCY ESTIMATION USING EXTENDED KALMAN FILTER

Authors

  • Desai Vidit Anilbhai P.G student,Electrical Department, SCET,Surat

Keywords:

Extended Kalman filter, PWM three phase converter, Harmonic analysis, Amplitude and frequency estimation, FFT analysis, Gaussian random noise, signal-to noise ratio (SNR)

Abstract

The accurate measurement of harmonics level is essential for designing harmonic filters, monitoring the
stress to which the power system devices are subjected due to harmonics and specifying digital filtering techniques for
phase measurements for relaying. This paper presents an integrated approach to design harmonic estimator of a PWM
converter in the presence of harmonic parameters variation with low signal-to noise ratio. This has led to study the
Extended Kalman filter characteristics and estimation technique to design the optimal filter. We have employed the
Extended Kalman filter algorithm to estimate magnitudes and frequencies of harmonic components presents in non -
sinusoidal voltage and current of three phase PWM converter with presence of random noise in power system and
distortions again taking into account the measurement noise and compare with inbuilt function ‘FFT analysis’ in Mat
lab. Parameters will be estimated up to the mth significant harmonic component. It also gives an approach for the case of
less than mth significant harmonic components. Extended Kalman filter being an optimal estimator which accurately
estimates the magnitudes and frequencies of harmonic components presents in non -linear voltage and current of PWM
converter.

Published

2015-05-25

How to Cite

Desai Vidit Anilbhai. (2015). MAGNITUDE AND FREQUENCY ESTIMATION USING EXTENDED KALMAN FILTER. International Journal of Advance Engineering and Research Development (IJAERD), 2(5), 309–318. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/844