Prescribed-Time Fuzzy Adaptive Consensus Control for Photovoltaic Systems With Dead-Zone Input and Actuator Faults

This article presents a novel prescribed-time fuzzy adaptive consensus control scheme for nonlinear photovoltaic (PV) energy systems with dead-zone and actuator faults. The PV panels are controlled to track the maximum power point so that the considered systems can efficiently operate under different complex conditions. To quickly regulate the voltage to a desired reference, a novel prescribed-time performance function is presented to guarantee systems states convergence within a specified time. Besides, dead zones and faults are serious nonlinearity constraints in practical grid-connected PV systems. Thus, a finite-time tracking controller and the adaptive laws are designed to compensate for the effect of unknown nonlinear constraints. By applying fuzzy logic systems, the difficulty of dealing with unknown nonlinear dynamics is overcome. The stability of the closed-loop system is rigorously proven using Lyapunov stability theory, demonstrating the uniformly ultimately boundedness of all signals. Finally, extensive simulation experiments validate the effectiveness and superiority of the proposed approach.