Intelligent system for control of liquid nitrogen flow in the collection of a cryogenic installation for control of SP magnets: soft computing
Автор: Bespalov Yury G., Neapolitansky Denis A., Nikiforov Dmitry N., Reshetnikov Anderey G., Sedyh Georgy S., Semashko Sergei V., Ulyanov Sergey V.
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 3, 2022 года.
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The paper presents information technologies (IT), the use of which is possible in the tasks of intelligent control of complex experimental complexes. The features of soft computing used in end-to-end quantum information technologies are considered. Substantiated (from the standpoint of theory and intelligent control systems) is the structure diagram of a two-level intelligent control system for pressure and nitrogen level. The results of the experiments carried out at the factory of magnets are presented.
Intelligent control systems, fuzzy neural controller, genetic algorithm, superconducting magnet, accelerator complex
Короткий адрес: https://sciup.org/14126380
IDR: 14126380
