Focused Time Delay Neural Network For Tuning Automatic Voltage Regulator

EMITTER International Journal of Engineering Technology

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Field Value
 
Title Focused Time Delay Neural Network For Tuning Automatic Voltage Regulator
 
Creator Aribowo, Widi
 
Subject power system; electrical engineering;artifical inteligent;neural network
SMIB; AVR; FTDNN; Automatic Voltage Regulator; Single Machine; Focused Time Delay Neural Network;

 
Description This paper proposes a novel controller for automatic voltage regulator (AVR) system. The controller is used Focused Time Delay Neural Network (FTDNN). It does not require dynamic backpropagation to compute the network gradient. FTDNN AVR can train network faster than other dynamic networks. Simulation was performed to compare load angle (load angle) and Speed. The performance of the system with FTDNN-AVR has compared with a Conventional AVR (C-AVR) and RNN AVR. Simulations in Matlab/Simulink show the effectiveness of FTDNN-AVR design, and superior robust performance with different cases.
 
Publisher Politeknik Elektronika Negeri Surabaya (PENS)
 
Contributor
 
Date 2019-06-15
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Focused Time Delay Neural Network
 
Format application/pdf
 
Identifier http://emitter.pens.ac.id/index.php/emitter/article/view/315
10.24003/emitter.v7i1.315
 
Source EMITTER International Journal of Engineering Technology; Vol 7, No 1 (2019); 34-43
2443-1168
2355-391X
10.24003/emitter.v7i1
 
Language eng
 
Relation http://emitter.pens.ac.id/index.php/emitter/article/view/315/130
 
Coverage


 
Rights Copyright (c) 2019 EMITTER International Journal of Engineering Technology
http://creativecommons.org/licenses/by-nc-sa/4.0
 

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