Supervising innovative undergraduate projects at the intersection of theory and practice.
This project focuses on designing and simulating a PID controller to regulate the frequency of an interconnected power system under varying load conditions. The controller is implemented in MATLAB/Simulink to improve dynamic performance by minimizing frequency deviations, reducing overshoot, and achieving faster settling time, thereby enhancing overall power system stability.
This project involves modeling and simulating an Automatic Voltage Regulator (AVR) system in MATLAB/Simulink to maintain a constant generator terminal voltage under varying operating conditions. The performance of the AVR is analyzed in terms of rise time, settling time, overshoot, and steady-state error, and suitable controllers such as PID may be implemented to improve voltage regulation and system stability.
The project focuses on developing a solar-powered electric vehicle (EV) charging circuit capable of operating in both Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) modes using a three-phase system. It ensures efficient bidirectional power flow, enabling sustainable energy utilization and grid support.
This project involves the modeling and simulation of a three-phase grid-connected solar PV system to analyze its performance under varying solar and grid conditions. It aims to ensure efficient power injection into the grid while maintaining stability and power quality.
This project focuses on load frequency control of a two-area interconnected power system using a PID controller to maintain system frequency and tie-line power within acceptable limits. The PID controller ensures stable operation by minimizing frequency deviations due to load disturbances.
This project presents an intelligent irrigation system integrated with cloud computing to enable real-time monitoring and automated water control based on soil and environmental conditions. It enhances water efficiency and crop yield by leveraging IoT sensors and data-driven decision-making.
This project develops a vehicle accident detection and alert system using sensors and microcontrollers to identify collisions in real time. Upon detection, it automatically sends the location and alert message to emergency contacts or services, enabling faster response and assistance.