DocumentCode
3365431
Title
Automatic PID tuning: an application of unfalsified control
Author
Jun, Myungsoo ; Safonov, Michael G.
Author_Institution
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear
1999
fDate
1999
Firstpage
328
Lastpage
333
Abstract
In this paper, we give detailed procedures for using unfalsified control theory for real-time PID controller parameter tuning and adaptation. Related to the candidate-elimination algorithms of machine learning, our PID tuning technique does not need a plant model and makes PID gain selection possible by just using observed data. Simulation results are included
Keywords
adaptive control; control system synthesis; real-time systems; three-term control; tuning; adaptation; automatic PID tuning; candidate-elimination algorithms; gain selection; machine learning; observed data; parameter tuning; real-time PID controller; simulation results; unfalsified control; Adaptive control; Automatic control; Control systems; Control theory; Extraterrestrial measurements; Feedback loop; Machine learning; Machine learning algorithms; Three-term control; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Aided Control System Design, 1999. Proceedings of the 1999 IEEE International Symposium on
Conference_Location
Kohala Coast, HI
Print_ISBN
0-7803-5500-8
Type
conf
DOI
10.1109/CACSD.1999.808669
Filename
808669
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