An Adaptive-Predictive control scheme with dynamic Hysteresis Modulation applied to a DC-DC buck converter

Area of Science:

• Electrical Engineering
• Control Systems
• Power Electronics

Background:

• DC-DC buck converters are crucial in modern electronics for efficient voltage regulation.
• Their inherent nonlinear nature presents significant control challenges.
• Existing control methods often struggle with fast dynamics and parameter variations.

Purpose of the Study:

• To propose and validate a new Adaptive-Predictive (AP) control technique for DC-DC buck converters.
• To improve converter performance, focusing on fast output voltage response and robustness.
• To enable online inference of plant parameters for enhanced fault detection.

Main Methods:

• Development of an Adaptive-Predictive (AP) control scheme with low implementation complexity.
• Integration of a dynamic Hysteresis Modulator (HM) to optimize the adaptive mechanism and closed-loop performance.
• Extensive numerical simulations using Matlab/Simulink for validation.
• Implementation and testing on a benchmark experimental platform.

Main Results:

• The AP control scheme demonstrated a fast response in output voltage regulation.
• The system exhibited robust performance under various perturbations, including reference voltage, input voltage, load, and parameter variations.
• The adaptive stage successfully enabled online inference of plant parameters.
• Experimental results confirmed the effectiveness and suitability of the AP control for real-world power electronics applications.

Conclusions:

• The proposed Adaptive-Predictive control technique offers a significant improvement in DC-DC buck converter performance.
• Its low complexity, fast response, and robustness make it highly suitable for practical power electronics applications.
• The ability to infer plant parameters online adds a valuable fault diagnosis capability.