Robust adaptive control for the DC-DC converter in the presence of parametric uncertainty

DC-DC converters are crucial components in a wide array of applications, from renewable energy systems to electronic devices. These converters are tasked with maintaining precise voltage regulation despite, fluctuations in operating conditions and inherent system uncertainties. This study delves into the challenges of developing a reliable adaptive control system for DC-DC converters capable of managing (uncertainties) in parameters such as inductance, capacitance, and load resistance. These challenges of the study introduce advanced control strategies that leverage adaptive control and robust optimization techniques. These methodologies enhance both the performance and resilience of the converters. An adaptive control strategy has been developed through theoretical research. This strategy is designed to dynamically adjust to changes in system (parameters, ensuring) stable operation and maintaining optimal performance under various conditions. Conventional backstepping controllers (BS) have been adopted. The backstepping controller possesses the benefits of backstepping by dealing with the overall system as a combination of multiple subsystems and the advantage of providing an accurate estimation of the uncertain parameters. Methodological objectives are shown by simulation results. These results show improvements in the stability and robustness of converters, affirming the potential of the adaptive control system to enhance the reliability dependent on these crucial components.