Advanced digital control strategies for switching buck converters: A modeling perspective

This paper highlights the significance of digital controllers over analog counterparts, emphasizing the utilization of optimization techniques such as MPC. It explores the benefits of adaptive controllers compared to MPC, showcasing simulations that dynamically adjust controller parameters to accommodate system and environmental variations. Addressing uncertainties, nonlinearities, and time-varying dynamics, the paper employs MPC-DC technique as an adaptive approach aiming to merge the advantages of digital controllers and MPC.The core concept revolves around leveraging the digital controller’s inherent advantages over analog counterparts and enhancing control precision through MPC, particularly in power converter applications. The study introduces a discrete root locus technique for digital controller design, focusing on DC-DC Buck Converters, with subsequent MPC fine-tuning. Demonstrating efficacy, the approach enhances switching converters’ performance, minimizing passive component size and costs while ensuring robust load and line regulation. Moreover, the proposed MPC based digital controller design methodology extends to other switching converters like Boost, Cuk, and Sepic Converters. Finally, the validation via MATLAB/Simulink simulations underscores the efficacy of the proposed model.