Harmonic current detection of adaptive active harmonic filter using rls algorithm
Abstract
This thesis proposes a method for detecting harmonics current in
the adaptive active harmonic filter with Recursive Least Square (RLS) algorithm. The
proposed method is based on the theory of noise cancellation adaptive filter. Originally,
the theory was used for audio signal processing, but this thesis is applied to the harmonic
current detector of an active harmonic filter.
The principle and construction of the harmonic current detector in
the adaptive active harmonic current filter with Least Mean Square (LMS) algorithm and
Recursive Least Square (RLS) algorithm are presented to compare the efficiency of both
algorithms. Then simulate these two algorithms with Matlab-Simulink program to
simulate the three case studies. All three case studies that simulate are generally
available in industrial plants.
The simulation results show that the harmonic current detector in
the adaptive active harmonic current filter with the LMS algorithm and the RLS algorithm
can detect the harmonic currents in the power systems. However, the RLS algorithm is
more efficient and has less error value than the LMS algorithm. Therefore, it is confirmed
that the RLS algorithm proposed in this thesis is appropriate to use with the adaptive
active harmonic current filter to really work in the industry.
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- Theses [42]
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