A nonlinear control scheme based on dynamic evolution path theory for improved dynamic performance of boost PFC...

Area of Science:

• Electrical Engineering
• Power Electronics
• Control Systems

Background:

• Boost power factor correction (PFC) converters are crucial for efficient power conversion.
• Load fluctuations pose significant challenges to maintaining stable voltage and power factor.
• Existing controllers may struggle with rapid and large load variations.

Purpose of the Study:

• To improve the performance of boost PFC converters under large random load fluctuations.
• To ensure unity power factor (UPF) at the source and a regulated DC voltage at the load.
• To design and validate a robust nonlinear controller for these demanding conditions.

Main Methods:

• A nonlinear controller based on dynamic evolution path theory was designed.
• The controller's robustness was rigorously examined under heavy and light load conditions.
• A simulation model was developed and experimentally validated using a dSPACE 1104 signal processor on a 390V_DC, 500W prototype.

Main Results:

• Significant reduction in total harmonic distortion (%THD) of the input current.
• Minimization of the zero-cross-over dead-zone in the input current.
• Remarkably fast response times for both input current and output voltage to load and reference variations.

Conclusions:

• The proposed nonlinear controller effectively enhances boost PFC converter performance under dynamic load conditions.
• The controller ensures unity power factor and stable output voltage, meeting critical power quality standards.
• Experimental validation confirms the controller's robustness and efficiency in real-world scenarios.