Title: Fuzzy control based multiple power sources for industrial drives applications

Authors: Ravindranath Tagore Yadlapalli; Rajani Kandipati; Ramakoteswara Rao Alla; Hareesh Myneni

Addresses: Department of Electrical and Electronics Engineering, R.V.R. and J.C. College of Engineering, Chowdavaram, Guntur, Andhra Pradesh, 522019, India ' Department of Electrical and Electronics Engineering, Vignan's Lara Institute of Technology and Science (VLITS), Vadlamudi, Guntur, Andhra Pradesh, 522213, India ' Department of CSE – AI and ML, R.V.R. and J.C. College of Engineering, Chowdavaram, Guntur, Andhra Pradesh, 522019, India ' Department of Electrical Engineering, National Institute of Technology Srinagar, Hazratbal, Srinagar, Jammu and Kashmir, 190006, India

Abstract: The renewable energy sources exhibit a prominent role in order to power the industrial drives or electric vehicles (EVs) related esteemed applications. Importantly, throughout a day the solar irradiation may not be constant. Therefore, the peak power should be tracked from the solar photovoltaic (SPV) panel (SPV-P) with respect to the varying solar irradiation conditions. Moreover, the fuel cells (FCs) are widely used in many power generation applications such as commercial or industrial applications. Therefore, this paper highlights the application of multi-power source vector controlled induction motor (VCIM) drive through an efficient power conditioning unit (PCU).The modelling aspects are presented for both the fuel cell and solar PV systems. The PCU comprises of the boost converter and the multilevel inverter (MLI). The boost converter is effectuated with the fuzzy logic control (FLC) as well as the perturbation and observation (P&O) algorithm for the maximum power point tracking (MPPT) of the solar PV panel. The MATLAB-based simulation results are presented with an emphasis on the torque ripples of the VCIM drive.

Keywords: solar energy; fuel cells; power conditioning units; vector control.

DOI: 10.1504/IJICA.2026.154192

International Journal of Innovative Computing and Applications, 2026 Vol.15 No.5, pp.271 - 288

Received: 17 Jun 2025
Accepted: 30 Sep 2025
Published online: 16 Jun 2026 *

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