Model Predictive Control Based On Cuckoo Search Algorithm of Interleaved Parallel Bi-directional DC-DC Converter

Abstract

In order to improve the response speed and reliability of the interleaved parallel bi-directional DC-DC converter, a constrained model predictive control(MPC) based on cuckoo search algorithm is proposed. Firstly, take the buck mode for example, the predictive model is established according to the equivalent circuit model of the converter under different two switch states. Then the cost function is built to evaluate the performance of the converter. Otherwise, the cuckoo search optimization algorithm is introduced and used to solve model predictive control optimization problem so that the speed solution was improved. Finally, the simulation was carried out by MATLAB/Simulink and the results of the model predictive control, PI control was analyzed and compared. The simulation result show that the CS-MPC converter has better dynamic response performance and steady state performance, and the algorithm is feasible and effective.