Open AccessNeural network controller based sequential switch cascaded H-bridge multilevel inverter
Author(s) -
M. Ramya,
P. Usha Rani,
K. Ramash Kumar
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.8.10527
Subject(s) - computer science , matlab , network topology , artificial neural network , inverter , topology (electrical circuits) , controller (irrigation) , h bridge , voltage , power (physics) , electronic engineering , control theory (sociology) , engineering , control (management) , electrical engineering , artificial intelligence , physics , quantum mechanics , operating system , agronomy , biology
This paper presents a novel cascaded multilevel inverter structure with reduced devices. This structure is termed as sequential switch cascaded multilevel inverter. The basic asymmetrical hybrid circuit is described and is capable of generating 17 voltage levels. The various modes of deriving 17 levels are explained and the proposed topology is compared with existing topologies in various aspects. Neural network controller can be used to generate the gating pulses. The algorithm can be trained online by using back propagation algorithm and also an algorithm to determine the number of levels, maximum voltage ratings and power loss is explained. The simulation can be done by MATLAB Simulink.