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Neuro-Fuzzy Controlled Induction Generator System

S.N. Sabreen, M. Malleswaran


A Recurrent Functional-Link (FL) based Fuzzy Neural Network (FNN) controller with Improved Particle Swarm Optimization (IPSO) is proposed in this paper to control a three phase Induction Generator (IG) system for stand-alone power application. 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.


Functional-Link Neural Network (FLNN), Induction Generator (IG), Improved Particle Swarm Optimization (IPSO).

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