Analysis of a Grid-Tied Photovoltaic Inverter By using Nonlinear fuzzy based Predictive Controller

Abstract

This paper presents the planning, implementation, and performance testing of a fuzzy controller based predictive controller (NPIPC) for a grid-tied inverter employed in photovoltaic (PV) systems. a traditional cascade structure is adopted to style the projected controller, where the outer-loop is employed to manage the DC-link voltage, and therefore the inner-loop is intended as a current controller for adjusting the active and reactive powers injected into the grid. for every loop, the controller springs primarily based on combining a continuous-time nonlinear model predictive control (NMPC) and nonlinear disturbance observer (NDO) techniques. It seems that the composite controller reduces to a nonlinear PI controller with a prophetical term that plays a very important role in rising chase performance. The salient feature of the projected approach is its ability to about preserve the nominal chase performance throughout the startup part. Each simulation and experimental results square measure provided to demonstrate the effectiveness of the projected approach in terms of nominal performance recovery, disturbance rejection, and current control.