INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The research focuses on the development and evaluation of a multilevel inverter. Multilevel inverters have certain advantages but also face challenges such as harmonic injection and low output voltage, which limits their suitability for certain projects. To overcome these limitations, the proposed inverter design reduces the number of switches and incorporates a robust controller. Two control approaches, a conventional Proportional-Integral (PI) controller and an Artificial Intelligence-based Artificial Neural Network (ANN) with a feed-forward architecture, are developed and implemented. The goal is to address the drawbacks of traditional multilevel inverters through the suggested inverter design coupled with the controller-based system. The study identifies renewable energy applications, specifically solar photovoltaic systems, as potential markets for the newly proposed inverter. The performance of the novel inverter design is demonstrated and verified through experimentation using hardware or MATLAB/Simulink simulations with various input parameters
"Development of Artificial Intelligence Based Multilevel Inverter Using MATLAB/Simulink", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 9, page no.c879-c885, September-2023, Available :http://www.ijnrd.org/papers/IJNRD2309299.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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