This paper presents a comparative analysis between Model Predictive Control (MPC) and Sliding Mode Control (SMC) in the context of a bidirectional Cuk converter powered by a solar PV input. Both control strategies are implemented to regulate the charging and discharging of a VRLA battery while ensuring stable current flow. MPC is used to regulate and optimise the behavior of dynamic systems. MPC uses a mathematical model of the process to predict and optimise future behavior over a specified time horizon. In contrast, SMC offers robust control with finite-time convergence and insensitivity to nonlinearities, making it well-suited for managing the converter’s complex dynamics. However, SMC introduces the challenge of chattering, a high-frequency oscillation around the desired sliding surface, which can impact system performance. Through simulations and experimental validation, this study evaluates the performance of both control methods, highlighting the trade-offs between the simplicity and stability of MPC and the robustness and complexity of SMC. The findings demonstrate the conditions under which each control strategy excels, providing insights into their respective advantages and limitations for bidirectional power converter applications.