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A cautious self‐tuning controller for chemical processes
Author(s) -
Papadoulis A. V.,
Tsiligiannis C. A.,
Svoronos S. A.
Publication year - 1987
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.690330306
Subject(s) - control theory (sociology) , controller (irrigation) , variance (accounting) , nonlinear system , continuous stirred tank reactor , self tuning , adaptive control , chemical reactor , computer science , control engineering , engineering , control (management) , pid controller , temperature control , artificial intelligence , physics , accounting , quantum mechanics , chemical engineering , agronomy , business , biology
An adaptive controller is presented that is able to perform effectively in the presence of nonlinearities and of model uncertainty typical of industrial processes. The controller incorporates a minimum variance part and a caution part. The latter is independent of the estimated model and becomes dominant in the case of a large mismatch between plant and estimated model. Application to a simulated nonlinear continuous stirred‐tank reactor demonstrates its effectiveness, even when other adaptive controllers give unsatisfactory performance.