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Adaptive Estimation of Components of a Three-Phase Signal Polluted with Sinusoidal Disturbance

Shafiee, Ashkan | 2012

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 43167 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Karimi, Houshang
  7. Abstract:
  8. This thesis proposes a new method for estimation of parameters of a multi-component signal. The signal is composed of several sinusoidal components whose frequencies and magnitudes are unknown. Moreover, the signal is polluted with white noise. The estimated parameters are frequency, amplitude, and phase-angle of each component. The proposed method is able to adaptively decompose the multi-component signal into its constituting sinusoidal components. The core unit of the proposed method comprises an adaptive band-pass and an adaptive notch filter. The proposed method consists of parallel connection of several core units. The band pass filter rejects all components except the one whose frequency falls within its pass-band. The notch filter is used to increase the accuracy of the method. The proposed method is based on least-squares error minimization approach and recursive prediction error algorithm. Simulation results verify the accuracy and fast time response of the method in estimating the components of the input signal and their parameters. The results also show that the method is able to track the sudden changes imposed to the input signal parameters with no steady-state error. Moreover, the method shows good performance when the input signal is polluted with the Gaussian white noise and DC component. The method is structurally simple and thus easily implementable in hardware/software platforms
  9. Keywords:
  10. Adaptive Filters ; Harmonics ; Adaptive Algorithm ; System Stability ; Adaptive Notch Filter ; Power Signal ; Component Estimation ; Interharmonic

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