This study focuses on optimizing Single-Ended Primary Inductor Converters (SEPIC) in the context of renewable energy systems. SEPIC converters are known for their distinct advantages in voltage regulation. We employ a multi-physics model in MATLAB/Simulink to explore their time-dependent behavior and implement a Proportional-Integral-Derivative (PID) controller to enhance their performance. The study encompasses sizing, modeling, and simulation of the converter system while subjecting it to various disturbances. We then implement a digital PID control algorithm on an embedded platform using the Processor-In-the-Loop (PIL) technique, an essential element of Model-Based Design (MBD). The controller parameters are experimentally determined in the closed-loop system. The results reveal the system's reliability in terms of dynamics, stability, and accuracy. Furthermore, the study makes a significant contribution by optimizing and validating the PID controller using a low-cost ARM microcontroller architecture. This research not only advances our understanding of SEPIC converters but also provides practical insights for their integration into renewable energy systems. .

SEPIC Converter, PID controller, Microcontroller, ARM, Model Based Design, DC-DC converters, Processor In the Loop.