Adaptive Fuzzy Approximation Control of PV Grid-Connected Inverters

Three-phase inverters are widely used in grid-connected renewable energy systems. This paper presents a new control methodology for using an adaptive fuzzy (AFC) technique. The implementation of the proposed controller does not need prior knowledge system mathematical model. capabilities approximating nonlinear functions inverter exploited to design controller. is capable achieve objectives presence both parametric and modelling uncertainties. regulate grid power factor dc output voltage photovoltaic closed-loop stability updating laws parameters determined via Lyapunov analysis. simulated under different disturbances, parameters, uncertainties validate effectiveness designed For evaluation, compared with conventional proportional-integral (PI) Takagi–Sugeno–Kang-type probabilistic neural network (TSKPFNN). results demonstrated that AFC showed better performance terms response reduced fluctuations PI controllers TSKPFNN controllers.