A new fluctuating power decoupling method based on ANFIS and PR control structures applicable to single-phase PWM rectifiers

In the input power of single-phase rectifiers, there is a pulsating portion with twice the grid frequency. To prevent the transferring of the pulsating power to the DC side, it should be filtered appropriately. For this purpose, a convenient method is to install a high-capacitance capacitor at the DC side, which cannot be considered as a proper solution due to its undesirable characteristics. This paper proposes an active method to eliminate the pulsating power, in which the control system is based on Adaptive Network-based Fuzzy Inference System (ANFIS) architecture. To improve the controller performance, an online supervisory learning algorithm based on the Error Back Propagation (EBP) learning method is employed. This technique leads to the forming of a control system with minimal structure, enhanced accuracy, and improved dynamics Also, the proposed control strategy is implemented using a Proportional Resonant (PR) compensator, and the performances of two controllers are compared with each other and with one of the most outstanding previous works as well. Moreover, a superseded control method based on ANFIS architecture for the conventional control system of single-phase PWM rectifiers is suggested. The efficiency of the proposed methods is confirmed by extensive simulations in MATLAB/Simulink.