Solving harmonics reduction problem in multilevel inverters by switching neural networks-based approach

Multilevel inverters are increasingly considered in integrated generation systems (IGSs) due their significant advantages and low voltage output harmonics content. In this paper a switching neural network (SNN)-based method to provide the switching pattern for harmonics reduction is proposed. We per...

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Bibliographic Details
Published in:	2015 International Conference on Clean Electrical Power (ICCEP) pp. 749 - 754
Main Authors:	Bonanno, F., Capizzi, G., Sciuto, G. Lo
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-06-2015
Subjects:	Algorithm design and analysis Biological neural networks Cascaded H-bridge Hardware Harmonic analysis Harmonics Integrated generation systems (IGS) Inverters Multilevel inverter Pulse Width Modulation Switches Switching Neural Networks (SNN) THD reduction Total Harmonic Distortion (THD) Training
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Summary:	Multilevel inverters are increasingly considered in integrated generation systems (IGSs) due their significant advantages and low voltage output harmonics content. In this paper a switching neural network (SNN)-based method to provide the switching pattern for harmonics reduction is proposed. We perform the implementation of this new paradigm to establish the switching pattern for a five level three-phase inverter. The provided results as well as the main guidelines for SNN software and hardware implementation show the significance of this approach.
DOI:	10.1109/ICCEP.2015.7177576