My research developed a PI-controlled bidirectional EV charging system that enables efficient G2V and V2G power transfer while reducing harmonics, improving power quality, and supporting smart grid applications through intelligent control of power electronic converters.

• The design of active harmonic current compensator (AHCC) to mitigate the current harmonics generated by supply side for an induction furnace application. Induction furnaces have nonlinear and time-varying properties, resulting in harmonics and voltage/current imbalances. AHCC are high-speed compen sators that enhance the performance of induction furnaces and solve power quality issues. The proposed system is designed with modified higher order sliding control (MHOSC) algorithm and extended form of reactive power theory to generate a three-phase reference compensating current. The control method examines the sliding surface parameter uncertainties in order to obtain a controlled direct current (DC) link current when using nonlinear con verters. The proposed work compares the performance of proportional integral (PI) tuned sliding mode controllers with emotional tTuned intelligent controllers (ETIC). The compensated current reference signal is used to provide switching pulses for AHCC. A major advantage of MHOSC is its ability to endure external disruptions and unpre dicted parameter changes, which improves reference current tracking without introducing undesirable oscillations (chattering). Implementation of the proposed control algorithm is validated in MATLAB / Simulink demonstrating that the designed AHCC compensates the harmonic current to an acceptable level (Total Harmonic Distortion of Source Current is 1.54%) satisfying IEEE 519-2014 standard.

• Developed a Current-Controlled Hybrid Power Compensator (CC-HPC) for battery charger applications.

• Combined Higher Order Sliding Mode Control (HOSMC) with generalized p–q theory for harmonic compensation.

• Applied Time Series Artificial Neural Network (TS-ANN) to generate accurate compensating reference currents.

• Eliminated the chattering effect while achieving robust current tracking.

• Reduced supply current harmonics and maintained THD within IEEE 519-2014 limits.

• Validated the proposed controller through MATLAB/Simulink simulations and experimental implementation.

My research focuses on the design, development, and implementation of intelligent control techniques for power electronic systems, with particular emphasis on power quality improvement, harmonic mitigation, electric vehicle (EV) charging systems, battery energy management, and smart grid applications. The primary objective of my research is to enhance the efficiency, stability, and reliability of electrical power systems through advanced control algorithms and intelligent optimization methods.During my doctoral research, I developed active and hybrid power compensation systems to mitigate current harmonics generated by nonlinear loads and battery charging systems. My work integrates Modified Synchronous Reference Frame (MSRF) theory, Instantaneous Power (p–q) theory, and advanced intelligent controllers, including PI controllers, Higher-Order Sliding Mode Control (HOSMC), Super-Twisting Sliding Mode Control (STSMC), Artificial Neural Networks (ANN), Time Series Artificial Neural Networks (TS-ANN), and Brain Emotional Learning-Based Intelligent Controllers (BELBIC), to achieve accurate current tracking, fast dynamic response, and robust system performance.

My research also extends to Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) technologies, where I developed intelligent bidirectional charging strategies for electric vehicles using advanced power converter topologies and control algorithms. These studies focused on improving charging efficiency, reducing harmonic distortion, supporting renewable energy integration, and enhancing smart grid stability while complying with the IEEE 519 power quality standard.

The proposed control strategies were designed, simulated, and validated using MATLAB/Simulink, followed by experimental verification on laboratory prototypes under various operating conditions. My research has demonstrated significant improvements in power quality, Total Harmonic Distortion (THD) reduction, dynamic response, and energy management.