Browsing by Author "Ogunbiyi, Olalekan"
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- ItemComparative analysis of the reliability assessment of commercial and residential feeders in the power distribution utility of Nigeria(e-Prime - Advances in Electrical Engineering, Electronics and Energy, 2024) Adesina, Lambe Mutalub; Ogunbiyi, Olalekan; Jimada-Ojuolape, BilkisuReliability studies serve as valuable tools for assessing and optimizing system performance. Utilities with higher reliability indices are more likely to achieve break-even points due to significantly reduced downtime. This paper explores a comparative assessment of two 11 kV feeders supplying electricity to residential and commercial customers, addressing concerns about distribution system reliability in Nigeria and its impact on the country’s GDP. The study involves a comprehensive reliability analysis, utilizing a flowchart to outline procedural steps and employing the ETAP Software program for data analysis collected over a one-month period from a power utility company. The data encompass operational parameters such as day-hourly consumption, outage records, and network equipment data. Results indicate higher reliability indices in the commercial feeder compared to the residential feeder, with the Customer Average Interruption Duration Index (CAIDI) being lower in the com- mercial feeder. The research underscores the significance of reliability assessment in improving operational efficiency, facilitating maintenance planning, and enhancing customer satisfaction.
- ItemDevelopment of Embedded Control for a Repetitive Pick and Placed Robotic Arm(FUOYE Journal of Engineering and Technology, 2023-06) Ogunbiyi, OlalekanManual execution of tasks is usually strenuous and exhaustive, some tasks may be repetitive in nature such that it requires full concentration. Nowadays, the integration of robotics into commercial and industrial activities to perform repetitive, dangerous, and difficult is becoming a norm. This work focuses on the implementation of a robotic arm. The robotic arm was designed to have six degrees of freedom. The control circuit includes an embedded Atmega328P microcontroller interfaced with servomotors and other glue electronic components such as sensors and buttons. The system is structured and programmed to operate automatically, performing a repetitive routine. The rotation and orientation of the device were tuned by sending required pulse width modulation (PMW) signals to different servomotors, such that they rotate as desired. The system employs six potentiometers in varying the duty cycle generated by the microcontroller. The system is structured such that three servomotors manipulate the motion of the body, the shoulder, the arm elbow, and the base. Manipulations of the end effector were also carried out by another three servomotors, each one controlling the gripper pitch, the movement of gripper spin, and that of the gripper itself. The constructed robotic arm gives a good response when tested for repetitive picking of objects. A similar acceptable performance was repeated in the autonomous lifting and dropping of objects items.