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An adaptive PID controller with an online auto-tuning by a pretrained neural network
| Content Provider | Scilit |
|---|---|
| Author | Chertovskikh, P. A. Seredkin, A. V. Gobyzov, O. A. Styuf, A. S. Pashkevich, M. G. Tokarev, M. P. |
| Copyright Year | 2019 |
| Description | Journal: Journal of Physics: Conference Series 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. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1359/1/012090/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1359/1/012090 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1359 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-11-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Adaptive Pid Auto Tuning Pid Controller |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
