Adaptive Control of DC-DC Converter Based on Hybrid Fuzzy PID Controller

Abstract

DC-DC converter is widely used in industrial applications with the aid of proportional-integral-derivative (PID) controller. The PID controller is commonly used because of its simple, efficiency and small steady state error. However, DC-DC converter is mainly nonlinear system due to its inherent switching operation, which makes the PID parameters very difficult to be found. In this paper, an intelligent PID controller based on a hybrid combination with the fuzzy logic controller (FLC) is proposed to control DC-DC converter. The proposed fuzzy based PID controller (FPIDC) is a close-loop control of the nonlinear PID parameters by measuring output voltage of the DC-DC converter, and it is designed effectively to reduce computation burden. By tuning the PID parameters continuously according to the load condition, the performance of the DC-DC converter is improved much better. The comparison between the proposed and conventional PID control method are investigated under various operating conditions. Simulation results and model analysis are carried in MATLAB/SIMULINK to prove the effectiveness of the proposed FPIDC method.