Three Phase Induction Motor for Marine Propulsion System Using Nature Inspired Algorithm Based ANFIS Controller with 31 Level CHB MLI
International Journal of Electrical and Electronics Engineering |
© 2023 by SSRG - IJEEE Journal |
Volume 10 Issue 11 |
Year of Publication : 2023 |
Authors : R.K. Padmashini, D. Lakshmi, V. Pramila, J.N. Rajesh kumar |
How to Cite?
R.K. Padmashini, D. Lakshmi, V. Pramila, J.N. Rajesh kumar, "Three Phase Induction Motor for Marine Propulsion System Using Nature Inspired Algorithm Based ANFIS Controller with 31 Level CHB MLI," SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 11, pp. 1-20, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I11P101
Abstract:
This work proposes a 31 level Cascaded H Bridge Multi Level Inverter (CHB MLI) with an optimized Adaptive Neuro Fuzzy Interference System (ANFIS) controller to regulate a three phase Induction Motor (IM) drive for a marine propulsion system. Here, using affordable Renewable Energy Sources (RES) is the most effective option to satisfy the desired energy demand. To compensate for one’s shortcomings with another’s strengths, this research uses Photovoltaic (PV) and Doubly Fed Induction Generator based Wind Energy Conversion Systems (DFIG-WECS) as power generation sources. High gain Single Ended Primary Inductance Converter (SEPIC) is used in the work under consideration to boost PV voltage, and Lion Algorithm optimised ANFIS (LA-ANFIS) is used for efficient converter regulation. Additionally, to ensure efficient control, the AC supply from DFIG-WECS is converted to DC employing a PWM rectifier and LA-ANFIS controller. A 31 level Cascaded H Bridge Multi Level Inverter (CHB MLI) is used in the marine propulsion systems to convert the converter’s output into distortion-free alternating current voltage fed to the motor. Utilizing a PI controller, the three-phase IM speed is controlled, producing outcomes with regulated speed. The overall proposed system was verified using the MATLAB platform, and the results prove that the proposed method is more efficient than other existing approaches.
Keywords:
PV, DFIG-WECS, Lion optimized ANFIS controller, High gain SEPIC, IM, 31 level CHB MLI.
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