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Papers by Farhad Kazemi

Research paper thumbnail of Neural Network Based Selective Harmonic Elimination with Improving the THD in Low Modulation Indexes

Gazi University Journal of Science

Multilevel converters are on the state-of-the-art in power conversion systems due their improved ... more Multilevel converters are on the state-of-the-art in power conversion systems due their improved voltage and current waveforms. Selective Harmonic Elimination Pulse Width Modulation (SHEPWM) switching strategy is commonly applied for the elimination of low order harmonics in the multilevel converter with stepped waveform. In this paper, a new approach of this switching algorithm is utilized to a seven-level cascaded converter to produce the required fundamental voltage and in the same time cancel out specified order harmonics. In this paper to solve SHE nonlinear transcendental, resultant theory has been used. Angels obtain from resultant theory are trained to neural network, since the neural network is trained, gives the best angles for the entire modulation index. In the seven-level converter, the switching angles can be chosen to produce the desired fundamental output while making the fifth and seventh harmonics identically zero. But the main drawback is that for some ranges of t...

Research paper thumbnail of Neural Network Based Selective Harmonic Elimination with Improving the THD in Low Modulation Indexes

Gazi University Journal of Science

Multilevel converters are on the state-of-the-art in power conversion systems due their improved ... more Multilevel converters are on the state-of-the-art in power conversion systems due their improved voltage and current waveforms. Selective Harmonic Elimination Pulse Width Modulation (SHEPWM) switching strategy is commonly applied for the elimination of low order harmonics in the multilevel converter with stepped waveform. In this paper, a new approach of this switching algorithm is utilized to a seven-level cascaded converter to produce the required fundamental voltage and in the same time cancel out specified order harmonics. In this paper to solve SHE nonlinear transcendental, resultant theory has been used. Angels obtain from resultant theory are trained to neural network, since the neural network is trained, gives the best angles for the entire modulation index. In the seven-level converter, the switching angles can be chosen to produce the desired fundamental output while making the fifth and seventh harmonics identically zero. But the main drawback is that for some ranges of t...

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