Synchronous buck converter modeling by a particle swarm optimization approach

This paper focuses on system modeling for a physical electronic device, named synchronous buck converter, with a simple first-order mathematical model. The modeling algorithm is based on using the particle swarm optimization (PSO) which is an optimal algorithm with evolutions. In this study, three kinds of cost functions include the integral of absolute error (IAE), integral of square error (ISE), and integral of time multiplied by the absolute error (ITAE) are well defined and they will be minimized by the proposed PSO algorithm such that the model output can approximate the real converter output. It is concluded from simulation results that the proposed method can do well in such synchronous buck converter modeling.