Improved control configuration of PWM rectifiers based on neuro-fuzzy controller

Area of Science:

• Electrical Engineering
• Control Systems

Background:

• Rectifiers are crucial for AC/DC transformation in numerous applications.
• Pulse Width Modulation (PWM) rectifiers offer superior performance over traditional diode and thyristor rectifiers, including lower current harmonics and higher power factors.
• Advanced control strategies are continuously developed to optimize rectifier performance.

Purpose of the Study:

• To propose a novel control scheme for PWM rectifiers using a neuro-fuzzy controller (NFC).
• To evaluate the effectiveness of the NFC in controlling dq-axis currents and DC voltage of PWM rectifiers.
• To demonstrate the performance improvements in terms of transient response, power factor, and power quality.

Main Methods:

• Implementation of three NFCs within the control architecture of a PWM rectifier.
• Simulation of the proposed control scheme in the MATLAB/Simulink environment.
• Analysis of key performance indicators: rise time, settling time, overshoot, power factor, total harmonic distortion (THD), and power quality.

Main Results:

• The proposed NFC demonstrates robust and nonlinear control capabilities for PWM rectifiers.
• Simulation results validate the effectiveness of the NFC in achieving desired dq-axis current and DC voltage regulation.
• Significant improvements in power factor and reduction in total harmonic distortion were observed.

Conclusions:

• The neuro-fuzzy controller presents a viable and effective solution for enhancing the performance of PWM rectifiers.
• The proposed control strategy offers robust control without requiring a detailed mathematical model of the system.
• This approach contributes to improved power quality and efficiency in AC/DC conversion applications.