Execution of Artificial Neural Networks Based Controller for the Finalized Loop Control for Decrease in the Switching Losses
Balakrishna Kothapalli1, K. Rajeshwar Reddy2, M. Sai Kumar3, B. Rajender4
1Balakrishna Kothapalli, Assistant Professor, Department of EEE, S R Engineering College, India.
2K. Rajeshwar Reddy, Assistant Professor, Department of EEE, S R Engineering College, India.
3M. Sai Kumar, Assistant Professor, Department of EEE, S R Engineering College, India.
4Dr. B. Rajender, Associate Professor, Department of EEE, S R Engineering College, India.
Manuscript received on 14 August 2019. | Revised Manuscript received on 21 August 2019. | Manuscript published on 30 September 2019. | PP: 5284-5288 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5923098319/2019©BEIESP | DOI: 10.35940/ijrte.C5923.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main disadvantages of the cascade multilevel inverters is actually a necessity of a segregated dc current sources for each and every H-bridge, due to this main reason size of the inverter and also boost, through which reliability of the body decreases. This Downside of inverter is actually the crucial inspiration for the here and now work.In this newspaper Plunged Multilevel inverter for photo-voltaic creating device appears with minimized dc source to show the benefits of cascade the PV unit. Microinverters are really low power DC-AC converters that are attached to each image electric PV door of a renewable energy unit which are largely based upon flyback converter geography. In this particular paper, a distinct solitary stage zeta microinverter is really recommended. Higher voltage gain is in fact secured due to the modified inverter as well as hence bring in the low power inverter suited for the application of PV requests.
Index Terms: Artificial Intelligence, Multilevel Inverters, ANN.
Scope of the Article: Artificial Intelligence