ANN control of Nine Level NPC Voltage Inverter Based on Selective Harmonics Elimination

This paper is devoted to artificial neural network (ANN) control of a nine levels neutral point clamped (NPC) voltage inverter based on the selective harmonics elimination. Initially, we determine all the adequate switching angles for the control of the nine levels inverter switches, in order to eli...

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Bibliographische Detailangaben
Hauptverfasser:	Khoukha, I., Hachemi, C., El Madjid, B.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial neural networks Artificial neurons network Diodes Multi-layer neural network Multilevel inverter Neurons Power harmonic filters Pulse width modulation inverters Selective Elimination Harmonics Switches Switching frequency Variable speed drives Voltage control
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Beschreibung
Zusammenfassung:	This paper is devoted to artificial neural network (ANN) control of a nine levels neutral point clamped (NPC) voltage inverter based on the selective harmonics elimination. Initially, we determine all the adequate switching angles for the control of the nine levels inverter switches, in order to eliminate the 5th, 7th and 11th harmonics. Then, a multilayer ANN is elaborated, which is able to reproduce these angles according to modulation index variations. The aim of t his technique is to improve the real-time control of the multilevel inverter.
DOI:	10.1109/ACEMP.2007.4510573