Design, Modeling, and Analysis of High Gain Super-Lift Luo Converter Fed SRM for Submerged Propulsion Systems
Year: 2026
Type: article
Abstract: The incorporation of renewable sources of energy in the power system of marine application has emerged to be indispensable owing to the requirement of minimizing the fossil fuel consumption and for meeting the ever-augmenting demand for electric power. Among renewable sources, solar energy is playing vital role in energy sectors due to its availability and also it is a green energy alternative. In this research work, a PV-powered Switched Reluctance Motor (SRM) based ship propeller is proposed with the intension of reducing marine pollution and progressing towards a carbon free future. The SRM is selected for this application due to its simple structure, fault tolerant, and reliable, making it highly suitable for ship propulsion. Moreover, for enhancing and stabilizing the variable output from PV, a Super-Lift Luo Converter (LUO) and Adaptive Neuro Fuzzy Inference System (ANFIS) are employed and it compared with conventional converters. The Luo converter being a higher gain DC to DC converter with lesser voltage stress and minimal input current ripple confirms that the PV output voltage is improved to the required higher level of efficiency about 98%. The ANFIS provides quick and improves the dynamic performance index and accurate error compensation of the converter. A Luo converter provides input to the BR converter which is used to energize the phase windings of the SRM. The speed of the motor is maintained constant under varying load situations with the aid of Proportional Integral (PI) controller and Vector control system. In MATLAB, the proposed PV powered SRM based ship propeller is simulated, and based on the results, the performance enhancement of the SRM fed submerged propulsion system is corroborated with notable process innovation.
Source: U Porto Journal of Engineering
Language: English
Topic: Advanced DC-DC Converters
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7202290106