Projects
State-Plane Centric Control of Bidirectional Dual Active Bridge Converters in V2X Applications
This project presents a novel control method for dual active bridge (DAB) converters used in bidirectional battery charging. Unlike traditional linear controllers, the proposed approach uses a state-plane–based pulsewidth modulation strategy to achieve fast and stable responses during large power transients. By modeling the system with circular state trajectories, the controller ensures smooth operation without overshoot or oscillations, helping to protect battery health.
Dual-Loop Geometric Control of Stator Flux for Improved LVRT Response in DFIG-Based Wind Turbine Systems
This project introduces a novel control strategy to improve the resilience of doubly fed induction generator (DFIG) wind turbines during grid disturbances. Using a dual-loop, state-plane–based architecture, the approach effectively manages stator flux transients caused by voltage dips, preventing converter saturation and potential damage. The controller enables rapid recovery and accurate power tracking within a single grid cycle even under severe fault conditions, without requiring additional hardware or fault detection systems.
Comprehensive System-Level Thermal Performance and Power Density Optimization in Enclosed Natural Convection PFC-LLC GaN Converters
This project explores thermal management challenges in high-efficiency GaN-based power converters, focusing on a two-stage PFC-LLC topology commonly used in compact consumer electronics. It introduces an integrated electro-thermal modeling framework that links temperature-dependent losses with a system-level thermal network, capturing the effects of thermo-coupling across components. The work also examines practical design considerations such as component placement and PCB layout to improve heat dissipation.
Ultra-Fast MPPT for Residential PV Systems With Low DC-Link Capacitance and Differential Power Processing
This project presents a novel maximum power point tracking (MPPT) method for flyback converters in differential power processing photovoltaic systems. The approach delivers extremely fast dynamic performance, enabling efficient power extraction even under large dc bus voltage variations. By reducing the need for bulky dc bus capacitance, it lowers system cost and improves reliability while allowing the use of compact ceramic capacitors.
Dual-Loop Estimation Based Adaptive Controller for Microgrid Connected Boost Converters
This project presents an adaptive control strategy to enhance the stability of DC microgrids affected by constant power load (CPL) behavior. It introduces a dual-loop estimation-based controller that combines feedback linearization with adaptive voltage control, using a nonlinear estimator to distinguish between constant power and resistive loads. By adjusting control gains in real time, the system maintains consistent performance across varying operating conditions. The approach is computationally efficient, easy to implement on standard microcontrollers, and validated through detailed analysis, simulations, and experimental results.