Performance Evaluation of DC-DC Buck Converter with Voltage Control Loop Using Genetic Algorithm with Different Objective Functions

This paper aims to tune the voltage controller of DC-DC buck converter system using genetic algorithm (GA) with different objective functions. The DC-DC buck converter system is supplied with constant voltage from renewable energy source. The objective functions applied to tune the voltage controller are integral square error (ISE), integral absolute error (IAE), integral time absolute error (ITAE), integral time square error (ITSE) and integral square time error (ISTE). The DC-DC buck converter system is tested through nonlinear model implemented in Matlab/Simulink. The obtained results of the nonlinear model and the results of the mathematical representation (model) of the system are compared. All objective functions give optimum values of controller gains. However, obtained results revealed that ITAE is the best objective function compared with the other objective functions. It provides the best overall results.