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Real‐time, nonlinear control of a constrained, nonminimum‐phase process
Author(s) -
Kanter Joshua M.,
Seider Warren D.,
Soroush Masoud
Publication year - 2002
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.690481015
Subject(s) - control theory (sociology) , inverse , multivariable calculus , nonlinear system , process (computing) , response time , actuator , controller (irrigation) , computer science , control engineering , process control , minimum phase , control (management) , engineering , mathematics , transfer function , agronomy , physics , geometry , operating system , electrical engineering , computer graphics (images) , quantum mechanics , artificial intelligence , biology
This article presents the first real‐time implementation of a recently‐developed model‐based control method on a pilot‐scale, multivariable, liquid‐level process that exhibits inverse response and whose actuators can be saturated. Issues in real‐time implementation of the control method are discussed, as well as a controller tuning procedure. Two model‐based controllers are implemented: one is derived using the process outputs; the other is derived using auxiliary outputs. Servo and regulatory responses presented show the differences in the performance of the two controllers. In real time, one of the model‐based controllers eliminates inverse response in one controlled output at the expense of yielding a larger inverse response in the other controlled output. This inverse‐response elimination is a real‐time validation of the linear and nonlinear theoretical results reported in the systems literature.