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On‐line gain identification of flow processes with application to adaptive pH control
Author(s) -
Gupta Surendra R.,
Coughanowr Donald R.
Publication year - 1978
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690240413
Subject(s) - process (computing) , control theory (sociology) , process control , controller (irrigation) , flow (mathematics) , process gain , process engineering , adaptive control , identification (biology) , process variable , line (geometry) , computer science , control engineering , biological system , engineering , control (management) , mathematics , mechanics , physics , spread spectrum , botany , geometry , artificial intelligence , agronomy , biology , operating system , computer network , channel (broadcasting)
A simple and practical method is presented for the control of first‐order flow processes with time varying gain and a pure delay in the measurement of the control variable. It involves on‐line identification of the process gain and a subsequent adjustment of the controller parameter. The method is well suited for applications in the chemical process industries where high frequency fluctuations in the process gain are not generally expected. It is tested on a computer simulated process as well as experimentally by application to a continuous stirred‐tank neutralization process involving p H control, where buffer concentration in the feed varies with time. There is a potential for the application of this method to an industrial process such as wastewater treatment.