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Performance Enhancement of Embedded System Based Multilevel Inverter Using Genetic Algorithm Cover

Performance Enhancement of Embedded System Based Multilevel Inverter Using Genetic Algorithm

Open Access
|Aug 2011

Abstract

This paper presents an optimal solution for eliminating pre specified order of harmonics from a stepped waveform of a multilevel inverter topology with equal dc sources. The main challenge of solving the associated non linear equation which are transcendental in nature and therefore have multiple solutions is the convergence of the relevant algorithms and therefore an initial point selected considerably close to the exact solution is required. The paper describes an efficient genetic algorithm that reduces significantly the computational burden resulting in fast convergence. An objective function describing a measure of effectiveness of eliminating selected order of harmonics while controlling the fundamental component is derived. The performance of cascaded multilevel inverter is compared based on computation of switching angle using Genetic Algorithm as well as conventional Newton Raphson approach. A significant improvement in harmonic profile is achieved in the GA based approach. A nine level cascaded multi level inverter is simulated in MATLAB Simulink and a proto type model has been fabricated to validate the simulation results.

DOI: https://doi.org/10.2478/v10187-011-0031-1 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 190 - 198
Published on: Aug 26, 2011
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2011 Maruthu Perumal, Devarajan Nanjudapan, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons License.

Volume 62 (2011): Issue 4 (July 2011)