70262

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

Adaptive Control of Process Units at JSC OEMK Named after A. A. Ugarov Based on Neural Network for Tuning Controller Parameters

ISBN/ISSN: 

0026-0894

DOI: 

10.1007/s11015-022-01302-5

Наименование источника: 

  • Metallurgist

Обозначение и номер тома: 

Vol. 66, No. 1-2

Город: 

  • Москва

Издательство: 

  • Springer New York Consultants Bureau

Год издания: 

2022

Страницы: 

84-95
Аннотация
The development and implementation of adaptive control systems, which are used to tune the parameters of PI-controllers of the metal pre-heating furnace for rolling and the water-air cooling circuit of continuous-casting machine of JSC OEMK im. A. A. Ugarov, are considered. The current adaptive control system based on open-loop control is analyzed, its disadvantages are shown. The proposed method of PI-controller automatic tuning to keep the transient quality using a neural tuner is described for both of the above mentioned plants. The use of the developed adaptive system makes it possible to improve the quality of control and minimize the number of situations when the controlled value exceeds the technological range.

Библиографическая ссылка: 

Чернов К.А., Фомин А.В., Глущенко А.И. Adaptive Control of Process Units at JSC OEMK Named after A. A. Ugarov Based on Neural Network for Tuning Controller Parameters // Metallurgist. 2022. Vol. 66, No. 1-2. С. 84-95.