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Real-Time Hardware Identification of Complex Dynamical Plant by Artificial Neural Network Based on Experimentally Processed Data by Smart Technologiesстатья
- Авторы: Kruzhkov Valerii I., Mitrishkin Yuri V., Pavlova Eugenia A.
- Журнал: Engineering Proceedings
- Том: 33
- Номер: 17
- Год издания: 2023
- Издательство: MDPI
- Местоположение издательства: Basel, Switzerland
- DOI: 10.3390/engproc2023033017
- Аннотация: Artificial neural networks with different structures are used for identification of complex dynamic plant with distributed parameters. The plant is a high-temperature plasma in the spherical Globus-M2 tokamak. Experimental data from it were processed by plasma reconstruction code based on Picard iterations, namely, the Flux-Current Distribution Identification (FCDI) code. This represents smart technology employed to obtain distributed plasma parameters by minimizing the difference between measured and reconstructed signals. An artificial neural network was then applied to identify the data obtained by the FCDI code on the hardware as a real-time testbed realized on a Speedgoat computer. The aim of this repeated identification is to increase the operational response speed in real time in the closed-loop control system of the plasma shape.
- Добавил в систему: Кружков Валерий Игоревич
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Полный текст | Полный текст опубликованной статьи | engproc-33-00017.pdf | 1,5 МБ | 1 августа 2023 [Norghauzen] |