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

Authors : Fayçal CHABNI, Rachid TALEB, M`hamed HELAIMI

Pages : 4867-4879

View : 20 | Download : 8

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :This article presents the application of the harmony search insert ignore into journalissuearticles values(HS); optimization algorithm for selective harmonic elimination PWM insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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.
Keywords : Multilevel inverter, harmonic elimination, harmony search, artificial neural network