An Adaptive Control Strategy for DC/DC Converters Using Command-Filtered Backstepping and Disturbance Rejection

Area of Science:

• Electrical Engineering
• Control Systems Theory
• Power Electronics

Background:

• DC/DC buck converters (DBCs) require stable and accurate output voltage for reliable operation.
• Lumped disturbances can significantly impact DBC performance and stability.
• Existing control methods may not adequately address these challenges.

Purpose of the Study:

• To design and validate an observer-based adaptive command-filtered controller for DBC systems.
• To mitigate the effects of lumped disturbances on output voltage regulation.
• To improve the tracking performance and stability of DBCs.

Main Methods:

• Development of a mathematical model for DBCs based on switching modes.
• Design of a simplified extended state observer (SESO) to estimate and compensate for lumped disturbances.
• Synthesis of a command filter technique with an adaptive law for enhanced voltage regulation.
• Stability analysis using the Lyapunov principle.

Main Results:

• The proposed controller demonstrated significant improvements in tracking performance.
• Simulations showed improvements of 96.1% and 77.8% under sinusoidal reference trajectories.
• Experiments confirmed substantial performance gains of 84.4% and 49.1%.

Conclusions:

• The observer-based adaptive command-filtered controller effectively enhances DBC performance.
• The method provides robust voltage regulation in the presence of lumped disturbances.
• Validated through simulations and experiments, the approach offers a superior solution for DBC control.