Abstract
This paper presents an approach for PI controller autotuning using Q-Learning algorithm. Gains obtained from Q-Learning are tested by simulation on the validated mathematical model of the real electric flow heater implemented in LabView and compared with conventional method for tuning PI controller.
| Translated title of the contribution | Algorytm Q-Learning do automatycznego dostrajania regulatora PI |
|---|---|
| Original language | English |
| Pages (from-to) | 44-48 |
| Number of pages | 5 |
| Journal | Przeglad Elektrotechniczny |
| Volume | 5 |
| DOIs | |
| Publication status | Published - 2025 |
Keywords
- PI controller
- process control
- Q-learning
- reinforcement learning
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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