SYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM
The aim of this work is the synthesis of neural network reference model controller. The synthesis is performed in MATLAB for the problem of control of the aiming and stabilization system for the special equipment of moving objects. This paper presents the synthesis of the neural network reference mo...
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| Date: | 2015 |
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| Language: | Ukrainian |
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National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine
2015
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| Online Access: | http://eie.khpi.edu.ua/article/view/2074-272X.2015.5.06 |
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eiekhpieduua-article-524492016-11-22T17:11:20Z SYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM СИНТЕЗ НЕЙРОРЕГУЛЯТОРА MODEL REFERENCE CONTROLLER ДЛЯ СИСТЕМЫ НАВЕДЕНИЯ И СТАБИЛИЗАЦИИ СИНТЕЗ НЕЙРОРЕГУЛЯТОРА MODEL REFERENCE CONTROLLER ДЛЯ СИСТЕМИ НАВЕДЕННЯ І СТАБІЛІЗАЦІЇ Kuznetsov, B. I. Vasilets, T. E. Varfolomiyev, O. O. neural network control aiming and stabilization system nonlinear dynamic object neuro-controller on the basis of standard model Model Reference Controller 681.3.01 нейросетевое управление система наведения и стабилизации нелинейный динамический объект нейрорегулятор на основе эталонной модели Model Reference Controller 681.3.01 нейромережеве управління система наведення і стабілізації нелінійний динамічний об’єкт нейрорегулятор на основі еталонної моделі Model Reference Controller 681.3.01 The aim of this work is the synthesis of neural network reference model controller. The synthesis is performed in MATLAB for the problem of control of the aiming and stabilization system for the special equipment of moving objects. This paper presents the synthesis of the neural network reference model controller to meet the given performance characteristics of operation for the aiming and stabilization system for the special equipment of moving objects. Simulink tool in MATLAB is used to build the block diagram of double-loop neural network system of aiming and stabilization, where the reference model controller is put in the velocity loop and P-regulator is put in the position loop, with feedforward velocity control. Presented the method of synthesis of the neural network reference model controller that is implemented in the Neural Network Toolbox in MATLAB. System tests with the broad range of parameter values determined the key parameters defining the control quality. Optimal values of the key parameters were found to provide the highest control performance. System simulation and analysis of the obtained results is given. Выполнен синтез нейрорегулятора на основе эталонной модели для решения задачи управления специальным оборудованием подвижных объектов. Приведен порядок синтеза нейрорегулятора Model Reference Controller, реализованного в пакете прикладных программ Neural Network Toolbox системы MATLAB. Установлено, какие параметры нейрорегулятора существенно влияют на качество регулирования и определены значения параметров, которые обеспечивают лучшие показатели качества функционирования системы. Выполнено моделирование системы на ЭВМ. Виконано синтез нейрорегулятора на основі еталонної моделі для рішення задачі управління спеціальним устаткуванням рухомих об’єктів . Наведено порядок синтезу нейрорегулятора Model Reference Controller, реалізованого в пакеті прикладних програм Neural Network Toolbox системи MATLAB . Встановлено, які параметри нейрорегулятора суттєво впливають на якість регулювання і визначені значення параметрів, що забезпечують найкращі показники якості функціонування системи. Виконано моделювання системи на ЕОМ. National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2015-11-01 Article Article application/pdf http://eie.khpi.edu.ua/article/view/2074-272X.2015.5.06 10.20998/2074-272X.2015.5.06 Electrical Engineering & Electromechanics; No. 5 (2015); 47-54 Электротехника и Электромеханика; № 5 (2015); 47-54 Електротехніка і Електромеханіка; № 5 (2015); 47-54 2309-3404 2074-272X uk http://eie.khpi.edu.ua/article/view/2074-272X.2015.5.06/48477 Copyright (c) 2015 B. I. Kuznetsov, T. E. Vasilets, O. O. Varfolomiyev https://creativecommons.org/licenses/by-nc/4.0 |
| institution |
Electrical Engineering & Electromechanics |
| baseUrl_str |
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| datestamp_date |
2016-11-22T17:11:20Z |
| collection |
OJS |
| language |
Ukrainian |
| topic |
neural network control aiming and stabilization system nonlinear dynamic object neuro-controller on the basis of standard model Model Reference Controller 681.3.01 |
| spellingShingle |
neural network control aiming and stabilization system nonlinear dynamic object neuro-controller on the basis of standard model Model Reference Controller 681.3.01 Kuznetsov, B. I. Vasilets, T. E. Varfolomiyev, O. O. SYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM |
| topic_facet |
neural network control aiming and stabilization system nonlinear dynamic object neuro-controller on the basis of standard model Model Reference Controller 681.3.01 нейросетевое управление система наведения и стабилизации нелинейный динамический объект нейрорегулятор на основе эталонной модели Model Reference Controller 681.3.01 нейромережеве управління система наведення і стабілізації нелінійний динамічний об’єкт нейрорегулятор на основі еталонної моделі Model Reference Controller 681.3.01 |
| format |
Article |
| author |
Kuznetsov, B. I. Vasilets, T. E. Varfolomiyev, O. O. |
| author_facet |
Kuznetsov, B. I. Vasilets, T. E. Varfolomiyev, O. O. |
| author_sort |
Kuznetsov, B. I. |
| title |
SYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM |
| title_short |
SYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM |
| title_full |
SYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM |
| title_fullStr |
SYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM |
| title_full_unstemmed |
SYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM |
| title_sort |
synthesis of neural network model reference controller for aiming and stabilizing system |
| title_alt |
СИНТЕЗ НЕЙРОРЕГУЛЯТОРА MODEL REFERENCE CONTROLLER ДЛЯ СИСТЕМЫ НАВЕДЕНИЯ И СТАБИЛИЗАЦИИ СИНТЕЗ НЕЙРОРЕГУЛЯТОРА MODEL REFERENCE CONTROLLER ДЛЯ СИСТЕМИ НАВЕДЕННЯ І СТАБІЛІЗАЦІЇ |
| description |
The aim of this work is the synthesis of neural network reference model controller. The synthesis is performed in MATLAB for the problem of control of the aiming and stabilization system for the special equipment of moving objects. This paper presents the synthesis of the neural network reference model controller to meet the given performance characteristics of operation for the aiming and stabilization system for the special equipment of moving objects. Simulink tool in MATLAB is used to build the block diagram of double-loop neural network system of aiming and stabilization, where the reference model controller is put in the velocity loop and P-regulator is put in the position loop, with feedforward velocity control. Presented the method of synthesis of the neural network reference model controller that is implemented in the Neural Network Toolbox in MATLAB. System tests with the broad range of parameter values determined the key parameters defining the control quality. Optimal values of the key parameters were found to provide the highest control performance. System simulation and analysis of the obtained results is given. |
| publisher |
National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine |
| publishDate |
2015 |
| url |
http://eie.khpi.edu.ua/article/view/2074-272X.2015.5.06 |
| work_keys_str_mv |
AT kuznetsovbi synthesisofneuralnetworkmodelreferencecontrollerforaimingandstabilizingsystem AT vasiletste synthesisofneuralnetworkmodelreferencecontrollerforaimingandstabilizingsystem AT varfolomiyevoo synthesisofneuralnetworkmodelreferencecontrollerforaimingandstabilizingsystem AT kuznetsovbi sinteznejroregulâtoramodelreferencecontrollerdlâsistemynavedeniâistabilizacii AT vasiletste sinteznejroregulâtoramodelreferencecontrollerdlâsistemynavedeniâistabilizacii AT varfolomiyevoo sinteznejroregulâtoramodelreferencecontrollerdlâsistemynavedeniâistabilizacii AT kuznetsovbi sinteznejroregulâtoramodelreferencecontrollerdlâsisteminavedennâístabílízacíí AT vasiletste sinteznejroregulâtoramodelreferencecontrollerdlâsisteminavedennâístabílízacíí AT varfolomiyevoo sinteznejroregulâtoramodelreferencecontrollerdlâsisteminavedennâístabílízacíí |
| first_indexed |
2025-07-17T11:45:34Z |
| last_indexed |
2025-07-17T11:45:34Z |
| _version_ |
1850411408820273152 |