Fuzzy Systems

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Neuro-Fuzzy Controlled Induction Generator System


Affiliations
1 Electronics Engineering Department, Anna University of Technology Tirunelveli, Tirunelveli, 627007, India
2 Electronics and Communication Engineering Department, Anna University of Technology Tirunelveli, Tirunelveli, 627007, India
     

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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.

Keywords

Functional-Link Neural Network (FLNN), Induction Generator (IG), Improved Particle Swarm Optimization (IPSO).
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  • Neuro-Fuzzy Controlled Induction Generator System

Abstract Views: 222  |  PDF Views: 1

Authors

S. N. Sabreen
Electronics Engineering Department, Anna University of Technology Tirunelveli, Tirunelveli, 627007, India
M. Malleswaran
Electronics and Communication Engineering Department, Anna University of Technology Tirunelveli, Tirunelveli, 627007, India

Abstract


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.

Keywords


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