NEURO-SYSTEM OF AIMING AND STABILIZING WITH A REGULATOR ON THE BASIS OF STANDARD MODEL MODEL REFERENCE CONTROLLER

The aim of this work is the synthesis of neural network aiming and stabilization system for the special equipment of moving objects with neuro-controller on the basis of standard model and performance comparison of the neural network system with the neural network predictive control. Build a block d...

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Autores principales: B.I. Kuznetsov, T.E. Vasilets, О.O. Varfolomiyev
Formato: article
Lenguaje:EN
RU
UK
Publicado: National Technical University "Kharkiv Polytechnic Institute" 2015
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Acceso en línea:https://doaj.org/article/16b7728546d044f2b905043d11bae523
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spelling oai:doaj.org-article:16b7728546d044f2b905043d11bae5232021-12-02T16:30:36ZNEURO-SYSTEM OF AIMING AND STABILIZING WITH A REGULATOR ON THE BASIS OF STANDARD MODEL MODEL REFERENCE CONTROLLER2074-272X2309-3404https://doaj.org/article/16b7728546d044f2b905043d11bae5232015-08-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/48731/44948https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404The aim of this work is the synthesis of neural network aiming and stabilization system for the special equipment of moving objects with neuro-controller on the basis of standard model and performance comparison of the neural network system with the neural network predictive control. Build a block diagram of the neural network aiming and stabilization system, based on the subject control principle with PD-regulator in the position loop and with neuro-controller on the basis of standard model in the in the velocity loop. The neuro-controller on the basis of standard model Model Reference Controller is synthesized in the MATLAB Neural Network Toolbox and system simulation is performed. The studies show that the transient state variables of the system are oscillatory. Therefore, the neuro-controller with the prediction NN Predictive Controller should be used for aiming and stabilizing system to provide high dynamic characteristics achieved at the cost of higher complexity and computational cost.B.I. KuznetsovT.E. VasiletsО.O. VarfolomiyevNational Technical University "Kharkiv Polytechnic Institute"articleneural network controlaiming and stabilization systemnonlinear dynamic objectneuro-controller on the basis of standard modelModel Reference ControllerElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 4, Pp 35-39 (2015)
institution DOAJ
collection DOAJ
language EN
RU
UK
topic neural network control
aiming and stabilization system
nonlinear dynamic object
neuro-controller on the basis of standard model
Model Reference Controller
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle neural network control
aiming and stabilization system
nonlinear dynamic object
neuro-controller on the basis of standard model
Model Reference Controller
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
B.I. Kuznetsov
T.E. Vasilets
О.O. Varfolomiyev
NEURO-SYSTEM OF AIMING AND STABILIZING WITH A REGULATOR ON THE BASIS OF STANDARD MODEL MODEL REFERENCE CONTROLLER
description The aim of this work is the synthesis of neural network aiming and stabilization system for the special equipment of moving objects with neuro-controller on the basis of standard model and performance comparison of the neural network system with the neural network predictive control. Build a block diagram of the neural network aiming and stabilization system, based on the subject control principle with PD-regulator in the position loop and with neuro-controller on the basis of standard model in the in the velocity loop. The neuro-controller on the basis of standard model Model Reference Controller is synthesized in the MATLAB Neural Network Toolbox and system simulation is performed. The studies show that the transient state variables of the system are oscillatory. Therefore, the neuro-controller with the prediction NN Predictive Controller should be used for aiming and stabilizing system to provide high dynamic characteristics achieved at the cost of higher complexity and computational cost.
format article
author B.I. Kuznetsov
T.E. Vasilets
О.O. Varfolomiyev
author_facet B.I. Kuznetsov
T.E. Vasilets
О.O. Varfolomiyev
author_sort B.I. Kuznetsov
title NEURO-SYSTEM OF AIMING AND STABILIZING WITH A REGULATOR ON THE BASIS OF STANDARD MODEL MODEL REFERENCE CONTROLLER
title_short NEURO-SYSTEM OF AIMING AND STABILIZING WITH A REGULATOR ON THE BASIS OF STANDARD MODEL MODEL REFERENCE CONTROLLER
title_full NEURO-SYSTEM OF AIMING AND STABILIZING WITH A REGULATOR ON THE BASIS OF STANDARD MODEL MODEL REFERENCE CONTROLLER
title_fullStr NEURO-SYSTEM OF AIMING AND STABILIZING WITH A REGULATOR ON THE BASIS OF STANDARD MODEL MODEL REFERENCE CONTROLLER
title_full_unstemmed NEURO-SYSTEM OF AIMING AND STABILIZING WITH A REGULATOR ON THE BASIS OF STANDARD MODEL MODEL REFERENCE CONTROLLER
title_sort neuro-system of aiming and stabilizing with a regulator on the basis of standard model model reference controller
publisher National Technical University "Kharkiv Polytechnic Institute"
publishDate 2015
url https://doaj.org/article/16b7728546d044f2b905043d11bae523
work_keys_str_mv AT bikuznetsov neurosystemofaimingandstabilizingwitharegulatoronthebasisofstandardmodelmodelreferencecontroller
AT tevasilets neurosystemofaimingandstabilizingwitharegulatoronthebasisofstandardmodelmodelreferencecontroller
AT oovarfolomiyev neurosystemofaimingandstabilizingwitharegulatoronthebasisofstandardmodelmodelreferencecontroller
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