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CONTROL AND STABILITY ANALYSIS OF THE GMC ALGORITHM APPLIED TO pH SYSTEMS
Author(s) -
João Manzi,
Darci Odloak
Publication year - 1998
Publication title -
brazilian journal of chemical engineering/brazilian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.313
H-Index - 52
eISSN - 1678-4383
pISSN - 0104-6632
DOI - 10.1590/s0104-66321998000300003
Subject(s) - sodium hydroxide , control theory (sociology) , controller (irrigation) , hydrochloric acid , stability (learning theory) , nonlinear system , base (topology) , control system , acetic acid , engineering , chemistry , computer science , control engineering , control (management) , mathematics , chemical engineering , inorganic chemistry , physics , organic chemistry , mathematical analysis , agronomy , electrical engineering , quantum mechanics , artificial intelligence , machine learning , biology
This paper deals with the control of the neutralization processes of the strong acid-strong base and the weak acid-strong base systems using the Generic Model Control (GMC) algorithm. The control strategy is applied to a pilot plant where hydrochloric acid-sodium hydroxide and acetic acid-sodium hydroxide systems are neutralized. The GMC algorithm includes in the controller structure a nonlinear model of the process in the controller structure. The paper also focuses the provides a stability analysis of the controller for some of the uncertainties involved in the system. The rResults indicate that the controller stabilizes the system for a large range of uncertainties, but the performance may deteriorate when the system is submitted to large disturbances

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