ANN-based SHEPWM using a harmony search on a new multilevel inverter topology

Authors

FAYÇAL CHABNI
RACHID TALEB
M'HAMED HELAIMI

Abstract

This article presents the application of the harmony search (HS) optimization algorithm for selective harmonic elimination PWM (SHEPWM) in a new topology of multilevel inverters with reduced number of electronic switching elements. The main objective of the harmonic elimination strategy is eliminating undesired low-rank harmonics in order to improve the quality of the output waveform. The harmonic elimination strategy is achieved by solving a system of nonlinear equations. In this paper harmony search optimization is applied using artificial neural networks (ANNs) on a new 21-level inverter topology. The algorithm is based on a music improvisation process. MATLAB programming software is used to develop a harmony search optimization program for harmonic elimination. A small-scale laboratory of the proposed 21-level inverter is built to validate the simulation results and to prove the efficiency of the proposed control scheme.

DOI

10.3906/elk-1703-122

Keywords

Multilevel inverter, harmonic elimination, harmony search, artificial neural network

First Page

4867

Last Page

4879

Recommended Citation

CHABNI, FAYÇAL; TALEB, RACHID; and HELAIMI, M'HAMED (2017) "ANN-based SHEPWM using a harmony search on a new multilevel inverter topology," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 25: No. 6, Article 35. https://doi.org/10.3906/elk-1703-122
Available at: https://journals.tubitak.gov.tr/elektrik/vol25/iss6/35