Application of GWO-PID to Totem Pole Power Factor Corrector

Gray wolf optimization (GWO) algorithm is one of the swarm intelligence optimization algorithms, which has the advantages of simplicity and efficiency, and has been successfully applied in many fields. In the paper, after the GWO searching principle and design process are depicted, GWO algorithm is used to select parameters of voltage outer loop in the totem pole power factor corrector (TP-PFC). Using an improved ITAE as well as energy variation constraint to search PID parameters optimally, including Kp、 KI and KD. The gained results show that the output voltage and input current of TP-PFC responds quickly without overshoot and there is no obvious fluctuation when load changes. TP-PFC GWO-PID adjustment method does not depend on the precision of the system characteristic parameters and transfer function.