An adaptive PID controller with an online auto-tuning by a pretrained neural network

P. A. Chertovskikh; A. V. Seredkin; O. A. Gobyzov; A. S. Styuf; M. G. Pashkevich; M. P. Tokarev

doi:10.1088/1742-6596/1359/1/012090

An adaptive PID controller with an online auto-tuning by a pretrained neural network

P. A. Chertovskikh, A. V. Seredkin, O. A. Gobyzov, A. S. Styuf, M. G. Pashkevich, M. P. Tokarev

Результат исследования: Научные публикации в периодических изданиях › статья по материалам конференции › рецензирование

3 Цитирования (Scopus)

Аннотация

This paper describes an intelligent adaptive PID controller design procedure. The controller consists of a discrete time PID and an auto-tuning neural network unit. First system identification with a nonlinear autoregressive model (NARX) was performed. This model was then used to train the neural PID tuner. A special MATLAB toolbox "SmatPID Toolbox" was developed to automate the process of controller synthesis. The resulting controller was tested in a laboratory coal-gas furnace control system to track specified air flow rates.

Язык оригинала	английский
Номер статьи	012090
Число страниц	6
Журнал	Journal of Physics: Conference Series
Том	1359
Номер выпуска	1
DOI	https://doi.org/10.1088/1742-6596/1359/1/012090
Состояние	Опубликовано - 21 ноя 2019
Событие	4th All-Russian Scientific Conference Thermophysics and Physical Hydrodynamics with the School for Young Scientists, TPH 2019 - Yalta, Crimea, Украина Продолжительность: 15 сен 2019 → 22 сен 2019

Доступ к документу

10.1088/1742-6596/1359/1/012090

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Цитировать

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abstract = "This paper describes an intelligent adaptive PID controller design procedure. The controller consists of a discrete time PID and an auto-tuning neural network unit. First system identification with a nonlinear autoregressive model (NARX) was performed. This model was then used to train the neural PID tuner. A special MATLAB toolbox {"}SmatPID Toolbox{"} was developed to automate the process of controller synthesis. The resulting controller was tested in a laboratory coal-gas furnace control system to track specified air flow rates.",

author = "Chertovskikh, {P. A.} and Seredkin, {A. V.} and Gobyzov, {O. A.} and Styuf, {A. S.} and Pashkevich, {M. G.} and Tokarev, {M. P.}",

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An adaptive PID controller with an online auto-tuning by a pretrained neural network. / Chertovskikh, P. A.; Seredkin, A. V.; Gobyzov, O. A.; Styuf, A. S.; Pashkevich, M. G.; Tokarev, M. P.

В: Journal of Physics: Conference Series, Том 1359, № 1, 012090, 21.11.2019.

Результат исследования: Научные публикации в периодических изданиях › статья по материалам конференции › рецензирование

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