Voltage regulation enhancement in a Buck type DC-DC converter using queen bee evolution based Genetic Algorithm

Buck converters are employed in several applications such as laptops, switched mode power supply, electronic gadgets, battery charging and communication networks. In order to have good regulation of capacitor voltage, Buck converters are generally provided with a feedback control mechanism. Since the converter dynamics changes from ON time period to OFF time period of the power electronic switch, the traditionally designed feedback controller provides only near-satisfactory voltage regulation. Aiming to obtain a more robust controller, which can track the desired voltage profile over large domain of operating points, the controller design for the feedback control of Buck DC-DC converter is constructed as an optimization problem and then the solution is acquired through a recently developed optimization technique known as queen bee evolution based Genetic Algorithm. The theoretical notions and implementation of the proposed methodology towards the search of a robust feedback control parameters for Buck converters are discussed in this paper. Extensive simulation and experimental studies under the presence of eventualities like matched and mismatched uncertainties are compared with conventional Genetic Algorithm, which thereby confirms the validity of the new approach.