Синтез системи автоматичного керування швидкістю руху підводного апарата на базі нейрорегулятора з еталонною моделлю
Autor: | Blintsov, Serhii V., Tkhy, Doan Fuk |
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Jazyk: | ukrajinština |
Rok vydání: | 2015 |
Předmět: | |
Zdroj: | NUS Journal; № 2 (2014): NUS Journal Вестник НУК; № 2 (2014): Вестник НУК Вісник НУК; № 2 (2014): Вісник НУК |
ISSN: | 2312-9441 2313-0601 |
Popis: | The synthesis of the controller with a reference model on the basis of the artificial neural networks for automatic control of the motion speed of the underwater vehicle under conditions of uncertainty of the object parameters has been considered. The aperiodic link was used as a reference model. A series of experiments was conducted on the mathematical model of the motion dynamics of the underwater vehicle. The training data sample was obtained and the artificial neural network approximating the object model was trained. With the use of the network, the training of the neural network of the controller was conducted with the method of the back propagation of error. For this purpose, the experimental data were also taken from the reference model. The data served as a training sample for the training of the controller. As a result, it was found that the artificial neural network of the controller in conjunction with the object recreates the dynamics of the reference model. The developed system showed high accuracy and performance. The controllers can be successfully used to control the motion speed of the underwater vehicles. At that, the processes of obtaining the experimental sample data and the synthesis of the controller proper are quite simple and not time-consuming. Рассмотрен синтез регулятора с эталонной моделью на базе искусственных нейронных сетей для автоматического управления скоростью движения подводного аппарата. Исследована эффективность такой системы, указаны ее достоинства и недостатки. Розглянуто синтез регулятора з еталонною моделлю на базі штучних нейронних мереж для автоматичного керування швидкістю руху підводного апарата. Досліджено ефективність такої системи, вказані її переваги та недоліки. |
Databáze: | OpenAIRE |
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