Open AccessALGORITHM FOR SELF-TUNING THE PID CONTROLLER
Author(s) -
Irina Cojuhari,
AUTHOR_ID
Publication year - 2021
Publication title -
journal of engineering science
Language(s) - English
Resource type - Journals
eISSN - 2587-3482
pISSN - 2587-3474
DOI - 10.52326/jes.utm.2021.28(4).06
Subject(s) - pid controller , control theory (sociology) , robustness (evolution) , self tuning , stability (learning theory) , computer science , degree (music) , open loop controller , temperature control , closed loop , control engineering , engineering , control (management) , physics , artificial intelligence , biochemistry , chemistry , machine learning , acoustics , gene
An algorithm for self-tuning the PID controller to the second order systems is proposed in this paper. The proposed self-tuning procedure was developed according to the maximum stability degree criterion, the criterion that permits to achieve the high stability degree, good performance and robustness of the system. According to the proposed algorithm, the controller can be tuned according to the parameters that characterize the process and they can be determinate from the experimental response of the open loop system. To demonstrate the efficiency of proposed procedure of self-tuning the PID controller, the computer simulation was performed and the obtained results were compared with Haeri’s method, maximum stability degree method with iterations and parametrical optimization method. According to the developed algorithm, it was performed the control of the thermal regime in the oven.