Comparative analysis of PI and Fuzzy Logic Controllers for Matrix Converter

The aim of this work is to analyze and compare the dynamic performances of two types of controllers (namely, classical Proportional Integral and Fuzzy Logic) for the matrix converter in terms of tracking the reference and robustness. Output signal of the Matrix Converter (MC) is directly affected by unbalanced grid voltage. Some research works have been made to overcome this problem by using Proportional integral (PI) control. However, PI control has a lower performance when it is used in complex and nonlinear systems. Fuzzy logic controller (FLC) has best performances, even in case of strongly nonlinear systems. Therefore, the combination of these two controllers to form a fuzzy supervisory control (FSC) can give better performance to overcome the limitation of PI control in nonlinear systems. In this paper a novel FSC control method is proposed. The FSC performs closed loop control of the output current to improve the performance of the MC powered by unbalanced grid voltage. The whole operating principle, Venturini modulation strategy of MC, PI control and characteristics of FSC are presented. To show the effectiveness of the control methods, the performances of the system are analyzed and compared by simulation using Matlab/Simulink software.