A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents

Zhoupeng Shou, Xiaodong Hong, Congjing Ren +3

PID tuning for chemical processes commonly relies on identified process models, whereas plant engineers often retune loops iteratively by observing responses, diagnosing deficienci…