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 изданияхстатья по материалам конференции

1 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 оригиналаанглийский
Номер статьи012090
Число страниц6
ЖурналJournal of Physics: Conference Series
Том1359
Номер выпуска1
DOI
СостояниеОпубликовано - 21 ноя 2019
Событие4th All-Russian Scientific Conference Thermophysics and Physical Hydrodynamics with the School for Young Scientists, TPH 2019 - Yalta, Crimea, Украина
Продолжительность: 15 сен 201922 сен 2019

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