Generalized Predictive Control for Bidirectional Buck-Boost Converters

The bidirectional buck-boost converter is widely used in applications such as renewable energy systems, electric vehicles, and energy storage systems due to its ability to transfer power bidirectionally. However,ensuring stable operation, fast dynamic response, and high efficiency undera wide range of operating conditions remains a significant control challenge. Traditional methods, such as proportional-integral (PI) control, often struggle to handle the non-linearities and uncertainties inherent in such systems. This paper proposes a Generalized Predictive Control applied to Bidirectional Buck-Boost Converter to address the aforementioned challenges, offering improved performance in terms of dynamic response, stability, and efficiency. The effectiveness of the proposed approach is validated through simulation results conducted in both buck and boost operating modes.