ADALINE Harmonics Extraction Algorithm applied to a Shunt Active Power Filter based on an Adaptive Fuzzy Hysteresis current control and a fuzzy DC voltage controller

This paper deals with the use of an adaptive linear (ADALINE) neural network in a harmonic extraction algorithm based on the calculation of instantaneous active and reactive powers. This technique, called "ANN-PQ", is developed in order to achieve an effective separation between the fundamental and harmonic components of the instantaneous powers, which used as reference variables in the control of the shunt active power filter (SAPF). In order to further increase the filtering performances of the SAPF, fuzzy logic theory is used in two parts of the SAPF control system. The first concerns the modulation technique where the hysteresis band of the current control strategy will be generated by a fuzzy inference system. In the second part, the fuzzy logic will be integrated into the external control loop of the SAPF to maintain the DC voltage at its reference value. The numerical simulation results, given at the end of this paper, clearly show the effectiveness of the proposed control techniques.