A Soft Computing Approach for Optimal Design of a DC-DC Buck Converter

摘要

The state space dynamic model of a DC-DC buck converter used for optimal designing of the converter to minimize the overall losses is presented in this paper. The optimum design criterion involves the selection of converter switching frequency, inductance and capacitance values for continuous conduction mode (CCM) of operation. The ripple in current, ripple in voltage and bandwidth are considered as constraints along with the criterion for CCM. Optimizing algorithms, namely Particle Swarm Optimization (PSO), Simulated Annealing (SA) and Firefly Algorithm (FA) are used to generate the solution to the optimal design problem. The comparative investigation of the algorithms reveals that PSO outperforms the FA and SA in terms of computational effort, convergence time, and also the most efficient design having minimum losses.