Neuro-fuzzy controlled Induction Generator system

Abstract

A Recurrent Functional-Link (FL) based Fuzzy Neural Network (FNN) controller with is proposed in this work to control a three phase Induction Generator (IG) system for stand-alone power application. The ac/dc power converter and a dc/ac power inverter are developed to convert the electric power generated by a three-phase IG from variable frequency and variable voltage to constant frequency and constant voltage, respectively. Moreover, two online-trained recurrent FL-based FNNs are introduced as the regulating controllers for both the dc-link voltage of the ac/dc power converter and the ac line voltage of the dc/ac power inverter. Finally, some simulation results are provided to demonstrate the effectiveness of the proposed recurrent FL-based FNN-controlled Induction Generator system.