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 |
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Номер статьи | 012090 |
Число страниц | 6 |
Журнал | Journal of Physics: Conference Series |
Том | 1359 |
Номер выпуска | 1 |
DOI | |
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 |