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@article{184620,
        author = {Madhu krishna Nakka and Mr, P. Gani Raju},
        title = {Design and Analysis of Intelligent MPPT for Multisource Renewable Systems Using Fuzzy-Controlled DC-DC Converters},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {2897-2903},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184620},
        abstract = {Intelligent max power point tracking (MPPT) of hybrid renewable sources is the design and analysis which is presented in this paper. The system integrates solar energy, wind energy and battery backup to provide a stable and consistent power supply. The MPPT process is controlled by a fuzzy logic-based controller, which is faster and more efficient than the traditional approach. The DC-DC converter links each source to permit adaptive control to changing weather and load conditions. The model is designed and simulated in MATLAB/ Simulink and the simulation results indicate that the fuzzy MPPT model enhances the energy conversion efficiency, minimizes power losses and offers stability to hybrid renewable system. This renders the proposed approach appropriate to off-grid and distributed energy systems where reliability is paramount.},
        keywords = {Fuzzy logic controller, MPPT, hybrid renewable system, solar energy, wind energy, DC-DC converter, battery storage, MATLAB/Simulink.},
        month = {September},
        }