Power control of single-stage three-phase grid-tied photovoltaic system during grid faults using recurrent fuzzy cerebellar model articulation controller

In this study, a recurrent fuzzy cerebellar model articulation controller (RFCMAC) is proposed to regulate the active and reactive power of a single-stage three-phase grid-tied photovoltaic (PV) system during grid faults. The proposed RFCMAC uses the signed distance and input space repartition mechanisms to convert the dual input variables to sole input variable and repartition the input space to an appropriate quantity. Therefore, the structure and computation complexities of the proposed RFCMAC are lowered and make it more practical. Moreover, in order to satisfy the low-voltage ride through (LVRT) requirements and ensure the injected currents within the safety value, the active and reactive power commands of the controllers are calculated by using the current profile of the LVRT grid requirements and the current limit of the inverter. Furthermore, varied learning-rate coefficients for the online parameters learning are designed to guarantee the convergence of the tracking error for the proposed RFCMAC. Finally, some experimental tests are presented to demonstrate the effectiveness of the proposed controller.