Boost PFC Converter Control using Fractional Order Fuzzy PI Controller Optimized via ICA

Abstract

One of the most important types of DC-DC converters is Boost converters. They increase the voltage level, stabilizing and reducing the voltage ripples at output. The nature of this system is nonlinear and uncertainty is unavoidable in modeling it. This study presented a fractional order fuzzy PI (FOFPI) controller to control the system. The Imperialist Competitive Algorithm (ICA) Optimization is used to optimize the parameters of proposed controllers. The fractional order of integral is achieved by ICA. The results are compared with fuzzy PI (FPI) controller. They show the FOFPI has less fluctuations, overshoot and settling time compared to FPI. Additionally, the value of Power Factor Correction (PFC) is closer to one. In fact, FOFPI has more flexibility and good performance in dealing with uncertainty in comparison with FPI. The results reveal the performance of the proposed method against other methods.