InnoWave Projects

Fuzzy Logic-Based High Current Density DC–DC Converter for EV Charging: Design and Performance Evaluation

EEEMajor

This paper presents an experimental investigation of a proportional–integral (PI) feedback controller designed to regulate a multi-rotor wind energy conversion system. The proposed controller employs pulse-width modulation (PWM) to control the power of a doubly-fed induction generator (DFIG) operating under a modified direct power control (DPC) strategy. Unlike conventional DPC methods, the proposed approach incorporates a feedback PI (FPI) structure to enhance inverter regulation and overall system performance. The controller is evaluated under variable wind speed conditions and implemented using MATLAB. Its performance is compared with traditional DPC and several existing control strategies. Experimental and simulation results demonstrate that the proposed FPI controller significantly improves dynamic and steady-state behavior, reducing energy ripple, overshoot, steady-state error (SSE), response time, and total harmonic distortion (THD) in system currents. Specifically, THD is reduced by 64.86% and 69.44% in two test scenarios relative to the traditional DPC method. For step wind speed conditions, active power ripple and overshoot are decreased by 95.42% and 90.86%, respectively. Additionally, reactive power ripple and SSE are reduced by 37.51% and 84.13% compared to the conventional DPC approach. These substantial improvements confirm the effectiveness of the proposed DPC–FPI technique in enhancing system performance under varying operating conditions.

Key Highlights

Focus Area: Power Converters

MATLAB
Multi-rotor wind energy system
feedback control
direct power control (DPC)
doubly-fed induction generator (DFIG)
proportional–integral (PI) controller
Technologies & Tools
MATLAB/Simulink

Request this project