Backstepping and Adaptive Backstepping Control Strategies for Parallel DC-DC Buck Converter

The main objective of this work is to model and control the Parallel DC-DC Buck Converter using Backstepping and Adaptive Backstepping Control Strategies. Initially, a thorough state-space model of the buck converter is presented. Later, a backstepping controller is designed to ensure voltage regulation and system stability. It is essential to run buck converters in parallel for high-power applications that require increased fault tolerance and current capacity. However, this configuration poses significant challenges, including current sharing imbalances, voltage regulation difficulties, and reduced stability, particularly under varying load conditions and parameter uncertainties. An online parameter estimate is included in the control architecture to create an adaptive backstepping controller. The effectiveness of both control systems in terms of output voltage regulation and current sharing accuracy is then evaluated in the MATLAB simulation environment. The findings demonstrate the adaptive backstepping approach's greater robustness and dependability in controlling the parallel buck converter's functioning.