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

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Article number012090
Number of pages6
JournalJournal of Physics: Conference Series
Volume1359
Issue number1
DOIs
Publication statusPublished - 21 Nov 2019
Event4th All-Russian Scientific Conference Thermophysics and Physical Hydrodynamics with the School for Young Scientists, TPH 2019 - Yalta, Crimea, Ukraine
Duration: 15 Sep 201922 Sep 2019

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