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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Robotics and Automation (IJRA) International Journal of Applied Power Engineering (IJAPE) International Journal of Advances in Applied Sciences
Chenchireddy, Kalagotla
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Automotive Engineering Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

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River cleaning robot using Arduino microcontroller Ramadevi, Dubala; Chenchireddy, Kalagotla; Rekha, Barkam; Prathyusha, Sunkari; Shravani, Koriginja; Bhargavi, Karnati
IAES International Journal of Robotics and Automation (IJRA) Vol 14, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v14i3.pp332-338

Abstract

River cleaning robots represent a promising technological solution to address the pervasive issue of water pollution in river systems. These autonomous devices are designed to collect and remove various types of debris from river environments, contributing to improved water quality and ecosystem health. This abstract summarizes the key aspects of river cleaning robots, including their technological advancements, operational mechanisms, and environmental impact. River cleaning robots have evolved significantly from early mechanical designs to sophisticated autonomous systems. Initially, these robots were equipped with basic skimming and collection mechanisms. Recent advancements have incorporated state-of-the-art technologies, including artificial intelligence, machine learning, and advanced sensor systems. Modern river cleaning robots can autonomously navigate complex river environments, detect and classify different types of debris, and operate efficiently with minimal human intervention. The operational capabilities of these robots are enhanced by various design features such as mobility systems, debris collection mechanisms, and renewable power sources. Mobility systems allow robots to maneuver through diverse water conditions, while collection mechanisms like nets, scoops, and suction devices enable effective debris removal. Many robots are powered by renewable energy sources, such as solar panels, which contribute to their sustainability and reduce their environmental footprint.
CHBMLI based DSTATCOM for power quality improvemt in a three-phase three-wire distribution system with PI controller Madhu Babu, Thiruveedula; Chenchireddy, Kalagotla; Sreevarsha, Kama; Praveen, Badudhala; Mohammad, Thanveer; Kashinadh, Ganji
International Journal of Advances in Applied Sciences Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i2.pp325-332

Abstract

This paper presents a cascaded h-bridge (CHB) multilevel inverter (MLI) based MLI based distribution static synchronous compensator (DSTATCOM). The main objective of this paper is to reduce source current harmonics in the distribution system by using a cascade H-bridge multilevel inverter (CHBMLI) as DSTATCOM with a proportional-integral (PI) controller. The PI controller compensates reactive power, reduces source current harmonics, and maintains the unity power factor in the distribution system. The conventional two-level inverter-based DSTATCOM has many disadvantages such as high total harmonic distortion (THD), and high switching stress power semi-conductor devices, suitable for only low-power applications. This paper to overcome these drawbacks by using MLI-based DSTATCOM. The proposed system simulations are verified in MATLAB/Simulink software. The verified results are source current, load current, and compensating current.
Intelligent control strategies for grid-connected photovoltaic wind hybrid energy systems using ANFIS Babu, Thiruveedula Madhu; Chenchireddy, Kalagotla; Kumar, Kotha Kalyan; Nehal, Vasukul; Srihitha, Sappidi; Vikas, Marikal Ram
International Journal of Advances in Applied Sciences Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i3.pp497-506

Abstract

This study proposes intelligent control strategies for optimizing the grid integration of photovoltaic (PV) and wind energy in hybrid systems using an adaptive neuro-fuzzy inference system (ANFIS). The ANFIS control aims to enhance grid stability, improve power management, and maximize renewable energy (RE) utilization. The hybrid system's performance is evaluated through simulations, considering various environmental conditions and load demands. Results demonstrate the effectiveness of the proposed ANFIS-based control in dynamically adjusting the power output from PV and wind sources, ensuring efficient grid-connected operation. The findings underscore the potential of intelligent control strategies to contribute to the reliable and sustainable integration of RE into the grid.
Co-Authors Ahmed Sydu, Shabbier Ajitesh, Dara Babu, Thanikanti Sudhakar Babu, Thiruveedula Madhu Bhargavi, Karnati Dora, Radhika Ganesh, Podishetti Giddalur, Eswaraiah Jagan, Vadthya Jegathesan, Varghese Kashinadh, Ganji Kiran, Gatla Uday Kumar, Banoth Nithish Kumar, Kotha Kalyan Madhu Babu, Thiruveedula Manohar, Varikuppala Mohammad, Thanveer Mulla, Gouse Basha Nagabushanam, Perattur Nagaraju, Dharavath Nehal, Vasukul Prathyusha, Sunkari Praveen, Badudhala Raghu, Dhunnapothula Rahul, Kanaparthi Ramadevi, Dubala Ramcharan, Golluri Rekha, Barkam Rohini, Jakkani Shiva, Chilukuri Shravani, Koriginja Sreejyothi, Khammampati R. Sreevarsha, Kama Srihitha, Sappidi Srujana, Abbagoni Srujana, Boddireddy Suhas, Mesaragandla Sai Sujatha, Muthumula Sultana, Waseem Sydu, Shabbier Ahmed Vikas, Marikal Ram