Feedback controller design for a buck-boost converter through evolutionary algorithms

This paper suggests a systematic design procedure for the feedback controller employed for the output voltage regulation of a buck-boost type dc-dc converter using evolutionary algorithms namely Genetic Algorithm (GA), Differential Evolution (DE) and Artificial immune system (AIS). The output voltage regulation is formulated as an optimization task with the controller elements as the variables and solution is achieved through each evolutionary method. Computer simulation results supported by experimental evidence clearly demonstrate that the controllers estimated through evolutionary algorithms are capable of delivering enhanced output voltage regulation under different types of load and supply disturbances.