Title :
Automatic detection of excessively oscillatory feedback control loops
Author :
Miao, Tina ; Seborg, Dale E.
Author_Institution :
Dept. of Chem. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
A statistically-based approach is proposed to detect excessively oscillatory feedback control loops. The technique is simple and requires only normal operating data. The effectiveness and widespread applicability of the new approach are demonstrated in several experimental applications, including an industrial distillation column
Keywords :
correlation methods; distillation; feedback; oil refining; statistical process control; autocorrelation; distillation column; oil refinery; oscillation detection; oscillatory feedback control loops; sample function; statistical process control; Autocorrelation; Automatic control; Chemical engineering; Control systems; Damping; Electrical equipment industry; Error correction; Feedback control; Frequency; Monitoring;
Conference_Titel :
Control Applications, 1999. Proceedings of the 1999 IEEE International Conference on
Conference_Location :
Kohala Coast, HI
Print_ISBN :
0-7803-5446-X
DOI :
10.1109/CCA.1999.806659
