INTEGRATED APPLICATION OF SYNERGETIC APPROACH AND NEURAL NETWORK STRUCTURES TO THE PROBLEM OF ELECTRIC DRIVE INTELLECTUAL CONTROL SYSTEM SYNTHESIS
The applicability of the artificial neural networks to the synthesis of the intellectual systems with the synergetic control law is considered. The key points of the synergetic approach to the system synthesis problem are stated. An example of the synergetic synthesis of the robot electrodrive contr...
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| Format: | Article |
| Language: | Russian |
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Don State Technical University
2014-12-01
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| Series: | Advanced Engineering Research |
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| Online Access: | https://www.vestnik-donstu.ru/jour/article/view/350 |
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| author | А. А. Kolesnikov D. V. Marshakov Andrey Razmikovich Aydinyan |
| author_facet | А. А. Kolesnikov D. V. Marshakov Andrey Razmikovich Aydinyan |
| author_sort | А. А. Kolesnikov |
| collection | DOAJ |
| description | The applicability of the artificial neural networks to the synthesis of the intellectual systems with the synergetic control law is considered. The key points of the synergetic approach to the system synthesis problem are stated. An example of the synergetic synthesis of the robot electrodrive control law under the conditions of its uncontrolled parametric variation and external disturbances is considered. An algorithm for synthesis of the neural network controller based on a predetermined synergetic control law is presented. The algorithm is based on the synergetic controller behavior simulated by an artificial neural network as a result of its training through harmonic signals of different frequencies. The key element of the proposed integrated approach to the synthesis of the intelligent control system is that it involves a combination of the self-organization unity principle and the training of the neural network at the preliminary stage. This ensures a subsequent stable system operation. |
| format | Article |
| id | doaj-art-b08d8107f98e474f9f5d77c1f9f23cf3 |
| institution | Matheson Library |
| issn | 2687-1653 |
| language | Russian |
| publishDate | 2014-12-01 |
| publisher | Don State Technical University |
| record_format | Article |
| series | Advanced Engineering Research |
| spelling | doaj-art-b08d8107f98e474f9f5d77c1f9f23cf32025-08-04T12:52:53ZrusDon State Technical UniversityAdvanced Engineering Research2687-16532014-12-01144607110.12737/7165343INTEGRATED APPLICATION OF SYNERGETIC APPROACH AND NEURAL NETWORK STRUCTURES TO THE PROBLEM OF ELECTRIC DRIVE INTELLECTUAL CONTROL SYSTEM SYNTHESISА. А. KolesnikovD. V. MarshakovAndrey Razmikovich AydinyanThe applicability of the artificial neural networks to the synthesis of the intellectual systems with the synergetic control law is considered. The key points of the synergetic approach to the system synthesis problem are stated. An example of the synergetic synthesis of the robot electrodrive control law under the conditions of its uncontrolled parametric variation and external disturbances is considered. An algorithm for synthesis of the neural network controller based on a predetermined synergetic control law is presented. The algorithm is based on the synergetic controller behavior simulated by an artificial neural network as a result of its training through harmonic signals of different frequencies. The key element of the proposed integrated approach to the synthesis of the intelligent control system is that it involves a combination of the self-organization unity principle and the training of the neural network at the preliminary stage. This ensures a subsequent stable system operation.https://www.vestnik-donstu.ru/jour/article/view/350synergeticsartificial neural networksintelligent controlself-organizationneurocontroller. |
| spellingShingle | А. А. Kolesnikov D. V. Marshakov Andrey Razmikovich Aydinyan INTEGRATED APPLICATION OF SYNERGETIC APPROACH AND NEURAL NETWORK STRUCTURES TO THE PROBLEM OF ELECTRIC DRIVE INTELLECTUAL CONTROL SYSTEM SYNTHESIS Advanced Engineering Research synergetics artificial neural networks intelligent control self-organization neurocontroller. |
| title | INTEGRATED APPLICATION OF SYNERGETIC APPROACH AND NEURAL NETWORK STRUCTURES TO THE PROBLEM OF ELECTRIC DRIVE INTELLECTUAL CONTROL SYSTEM SYNTHESIS |
| title_full | INTEGRATED APPLICATION OF SYNERGETIC APPROACH AND NEURAL NETWORK STRUCTURES TO THE PROBLEM OF ELECTRIC DRIVE INTELLECTUAL CONTROL SYSTEM SYNTHESIS |
| title_fullStr | INTEGRATED APPLICATION OF SYNERGETIC APPROACH AND NEURAL NETWORK STRUCTURES TO THE PROBLEM OF ELECTRIC DRIVE INTELLECTUAL CONTROL SYSTEM SYNTHESIS |
| title_full_unstemmed | INTEGRATED APPLICATION OF SYNERGETIC APPROACH AND NEURAL NETWORK STRUCTURES TO THE PROBLEM OF ELECTRIC DRIVE INTELLECTUAL CONTROL SYSTEM SYNTHESIS |
| title_short | INTEGRATED APPLICATION OF SYNERGETIC APPROACH AND NEURAL NETWORK STRUCTURES TO THE PROBLEM OF ELECTRIC DRIVE INTELLECTUAL CONTROL SYSTEM SYNTHESIS |
| title_sort | integrated application of synergetic approach and neural network structures to the problem of electric drive intellectual control system synthesis |
| topic | synergetics artificial neural networks intelligent control self-organization neurocontroller. |
| url | https://www.vestnik-donstu.ru/jour/article/view/350 |
| work_keys_str_mv | AT aakolesnikov integratedapplicationofsynergeticapproachandneuralnetworkstructurestotheproblemofelectricdriveintellectualcontrolsystemsynthesis AT dvmarshakov integratedapplicationofsynergeticapproachandneuralnetworkstructurestotheproblemofelectricdriveintellectualcontrolsystemsynthesis AT andreyrazmikovichaydinyan integratedapplicationofsynergeticapproachandneuralnetworkstructurestotheproblemofelectricdriveintellectualcontrolsystemsynthesis |