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All Journal International Journal of Recent Technology and Applied Science (IJORTAS) Journal of Engineering, Technology, and Applied Science (JETAS)
Ritah, Nafuna
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics

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PLC Based Speed Control in a Color Sorting System: A Design and Simulation Perspective Umaru, Kalyankolo; Marlon, Munguleni; Nansukusa, Yudaya; Asikuru, Salaama; Ritah, Nafuna; Zaina, Kalyankolo
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 1: April 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0701.828

Abstract

For simulation purposes in Factory IO and TIA Portal, the research is tailored to emulate industrial sorting operations. In numerous industrial scenarios, sorting operations play a crucial role, with objects segregated based on various criteria such as dimensions, colors, weight, and material composition. For instance, within Thermal Power Stations, electromagnetic sorting techniques are employed to separate ferromagnetic materials from coal. This research specifically focuses on sorting goods based on color, with adjustable speed parameters to match production rates. The system is equipped with a digital display screen, providing real-time feedback on the count of sorted objects, and receives an analog speed signal from the PLC for precise control. This research is divided into two primary components, i.e. Software and Simulation in Factory IO. The software aspect involves the implementation of ladder logic programming in TIA Portal, enabling systematic control of the entire research process based on the input data sequence, while the simulation in Factory IO is encompasses the virtual representation of conveyors for object transportation and RGB color vision sensors for color detection. The entry conveyor features two branches to load objects onto the respective conveyors, directed by the sorting logic implemented in TIA Portal.
Fuzzy-PID Control Design and Performance Analysis for PMSM Drives in Electric Vehicles Umaru, Kalyankolo; Ritah, Nafuna; Rodney, Mugabe; Nansukusa, Yudaya; Asikuru, Salaama; Ochima, Noah; Mutaburura, Pison; Zaina, Kalyankolo
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 7 No 3: December 2025
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0703.917

Abstract

The increasing demand for high performance and energy efficient electric vehicles has driven research into advanced motor control strategies for Permanent Magnet Synchronous Motors. This study investigates the design and performance evaluation of a Fuzzy PID controller as the speed regulator to address the limitations of the typical PID controllers in EV propulsion and a field-oriented control strategy is used. A conventional PID controller is initially implemented and tuned using the Ziegler-Nichols closed loop method. A Fuzzy Inference System is developed and then integrated with the PID controller to form a hybrid Fuzzy PID controller capable of adjusting the PID gains in real time. The performance of both controllers is evaluated under various test scenarios including speed variations, load disturbances, and parameter changes. Simulation results demonstrate that the Fuzzy PID controller significantly reduced overshoot by 0.5%, reduced rise time by 32.04%, improved settling time by 8.04%, and therefore enhanced system stability and responsiveness compared to the typical PID controller. These improvements validate the effectiveness of fuzzy logic in managing the uncertainties associated with PMSM control in EV applications.
Performance Optimisation of Hybrid Renewable Systems for Remote Off-Grid Electrification Umaru, Kalyankolo; Salim, Kaaya; Asikuru, Salaama; Ochima, Noah; Mutaburura, Pison; Nansukusa, Yudaya; Ritah, Nafuna
International Journal of Recent Technology and Applied Science (IJORTAS) Vol 8 No 1: March 2026
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijortas-0801.988

Abstract

This research focuses on modelling, simulation and optimization of a HRES for off grid electrification in remote areas of Uganda using solar and wind as the renewable sources, targeting a community of 100 households and 10 medical centers in Rigbo Sub-County, Arua District. Using HOMER Pro software, five configurations were evaluated: solar only, solar and wind, solar with generator, wind with generator, and a combination of solar and wind with generator. Costs, electrical performance and environmental impact of the configurations were compared. Load profiles were developed by estimating a daily consumption of households and medical centers, scaled to total annual load of 189,500-189,581kWh. Results indicate that hybrid systems incorporating a generator, particularly the configuration of solar, wind and generator, outperforms others with the lowest total NPC and the lowest LCOE and no unmet load, while maintaining high renewable fraction and manageable CO2 emission. Future studies should focus on validating these simulation results with empirical data from actual pilot deployments in remote Ugandan villages to account for real-world weather unpredictability. Investigating more dynamic and diverse energy demand models would also provide a deeper understanding of consumption patterns beyond uniform assumptions. Exploring the integration of advanced energy storage technologies and smart grid management could offer ways to further reduce reliance on diesel generators while maintaining system reliability.
Co-Authors Asikuru, Salaama Marlon, Munguleni Mutaburura, Pison Nansukusa, Yudaya Ochima, Noah Rodney, Mugabe Salim, Kaaya Umaru, Kalyankolo Zaina, Kalyankolo