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Analysis and tuning of adaptive generalized predictive control
Author(s) -
Mcintosh Andrew R.,
Shah Sirish L.,
Fisher D. Grant
Publication year - 1991
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.5450690112
Subject(s) - control theory (sociology) , root locus , model predictive control , closed loop , transfer function , controller (irrigation) , adaptive control , loop (graph theory) , function (biology) , computer science , mathematics , control engineering , engineering , control system , control (management) , artificial intelligence , agronomy , combinatorics , evolutionary biology , electrical engineering , biology
The adaptive Generalized Predictive Controller (Clarke et al., 1987a, b) is capable of controlling plants with variable dead‐time, unknown model orders and unstable poles and zeros. This paper shows how the GPC control law can be written in an equivalent general linear transfer function form which simplifies closed‐loop (eg. root locus) analysis. Three recommended strategies for selecting the design parameters during the commissioning stage allow the user to adjust the closed‐loop speed of response on‐line using only a single active tuning parameter. Experimental runs confirm the ability of adaptive GPC to provide a consistent closed‐loop response in spite of large process changes.