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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National Technical University "Kharkiv Polytechnic Institute"
2015
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oai:doaj.org-article:bea4f2e0b4944d6bb44c26d4f0dcbb612021-12-02T16:12:25ZSYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM2074-272X2309-3404https://doaj.org/article/bea4f2e0b4944d6bb44c26d4f0dcbb612015-11-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/52449/48477https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404The 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.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 5, Pp 47-54 (2015) |
| institution |
DOAJ |
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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 SYNTHESIS OF NEURAL NETWORK MODEL REFERENCE CONTROLLER FOR AIMING AND STABILIZING SYSTEM |
| 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. |
| 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 |
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 |
| publisher |
National Technical University "Kharkiv Polytechnic Institute" |
| publishDate |
2015 |
| url |
https://doaj.org/article/bea4f2e0b4944d6bb44c26d4f0dcbb61 |
| work_keys_str_mv |
AT bikuznetsov synthesisofneuralnetworkmodelreferencecontrollerforaimingandstabilizingsystem AT tevasilets synthesisofneuralnetworkmodelreferencecontrollerforaimingandstabilizingsystem AT oovarfolomiyev synthesisofneuralnetworkmodelreferencecontrollerforaimingandstabilizingsystem |
| _version_ |
1718384373331394560 |