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Electric Boat Propulsion System Using Multilevel Converter Based on ANN Controller
K. Selva Kumar1, Siddharth S Menon2, K Varun Kaushik3, D. Karthikeyan4

1K. Selva Kumar, Assistant Professor, Department of EEE, SRM IST, Chennai (Tamil Nadu), India.
2Siddharth S Menon, UG Research Scholar, Department of EEE, SRM IST, Chennai (Tamil Nadu), India.
3K Varun Kaushik, UG Research Scholar, Department of EEE, SRM IST, Chennai (Tamil Nadu), India.
4D. Karthikeyan, Assistant Professor, Department of EEE, SRM IST, Chennai (Tamil Nadu), India.
Manuscript received on 18 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3319-3326 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B15600982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1560.0982S1119
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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: In this system, we use a Multi-level inverter to power an electric boat propulsion system powered by PV Panels. The eleven-level inverter is used to supply power to multi-level switching cells of the inverter which drives the AC motor.It is an Asymmetrical Cascaded H-bridge Inverter. A Multi Carrier PWM signal is given based on Multi Carrier Modulation Technique to obtain equal steps in the eleven-level output. A Sepic converter is used which allows adjustment of a range of DC voltages to provide a constant voltage output. It is a DC converter that basically regulates the voltage from the PV Panel and all subtractive and additive combinations of DC input levels can be obtained in the output signal. ANN controller is applied forming an efficient closed loop system that is involved in the elimination of harmonics in PWM inverters.It reduces the overall Total Harmonic distortion. The system consists of optimized PI based MPPT that ensures efficient PV power generation.
Keywords: PWM-Pulse Width Modulation, ANN -Artificial Neural Network, MPPT -Maximum Power Point Technique.
Scope of the Article: Neural Information Processing