Alok Kumar
JSPM University

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Design and realization of a fuzzy logic-based MPPT controller for PV systems using microcontroller Mohan P. Thakre; Badal Kumar; Alok Kumar; Supriya Nilesh Thakur; Krupali Kanekar; Pranali M. Thakre; Prashant K. Magadum
Bulletin of Electrical Engineering and Informatics Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i3.11394

Abstract

This study presents a microcontroller-based fuzzy logic control method for maximum power point tracking (MPPT) in photovoltaic systems under varying temperature and solar irradiation. The proposed controller is implemented on an 8-bit microcontroller and regulates the duty cycle of a pulse-width-modulation-driven DC-DC converter to extract maximum power from the photovoltaic array. Unlike conventional MPPT methods, the fuzzy logic approach provides faster response, improved flexibility, and stronger robustness against nonlinear current-voltage characteristics and converter switching effects. The system includes a photovoltaic array, sensing circuits, a DC-DC converter, and an embedded controller programmed with optimized C code for real-time operation. Experimental results show that the proposed method reaches the maximum power point quickly and maintains stable performance during environmental changes. It also improves energy conversion efficiency compared with traditional algorithms. Its low-cost hardware and simple embedded implementation make it suitable for practical photovoltaic applications and sustainable energy generation in renewable energy systems.
An assistive communication system for mute individuals using MATLAB-based image processing and sensor integration Mohan P. Thakre; Krupali Kanekar; Badal Kumar; Alok Kumar; Supriya Nilesh Thakur; Pranali M. Thakre; Prashant K. Magadum
Bulletin of Electrical Engineering and Informatics Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i4.11395

Abstract

Interactions between non-verbal people and verbal communicators have always presented serious challenges. Although functional, current sign language systems often lack the flexibility and affordability needed for wider use. This document provides a novel speaking system created for those who are mute, supporting communication using two methodologies: i) recognition of hand motions with flex sensors and ii) detection of finger positions through image processing techniques combined with MATLAB. The setup in question uses a single camera and a Raspberry Pi to capture hand photos. Finger coordinates are then extracted from these photos and compared to an existing database for matching. An appropriate verbal output is then produced from the identified gesture. Flex sensor-based inputs are simultaneously connected to an Arduino, which uses a Bluetooth module to transmit text data to an external application for speech conversion. This dual-mode technology improves everyday communication for people who are silent by providing a customized and efficient framework for converting sign-based gestures into vocal communications. This approach makes a significant contribution to the development of inclusive technology by offering an affordable, adaptable, and practical alternative for assistive communication.