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 language | English |
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Article number | 012090 |
Number of pages | 6 |
Journal | Journal of Physics: Conference Series |
Volume | 1359 |
Issue number | 1 |
DOIs | |
Publication status | Published - 21 Nov 2019 |
Event | 4th All-Russian Scientific Conference Thermophysics and Physical Hydrodynamics with the School for Young Scientists, TPH 2019 - Yalta, Crimea, Ukraine Duration: 15 Sep 2019 → 22 Sep 2019 |