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Study on dynamic behavior adjustment of nonlinear chemical processes
Author(s) -
Jiang Hao,
Chen Bingzhen
Publication year - 2016
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.15342
Subject(s) - control theory (sociology) , chemical process , controller (irrigation) , nonlinear system , pid controller , process (computing) , washout , engineering , set point , set (abstract data type) , filter (signal processing) , range (aeronautics) , control engineering , computer science , control (management) , artificial intelligence , temperature control , chemical engineering , physics , agronomy , electrical engineering , quantum mechanics , meteorology , biology , programming language , aerospace engineering , operating system
In nonlinear chemical processes, many economically desirable operating conditions are located in unstable regions, leading to product quality degradation and safety problems. Therefore, determining how to adjust the dynamic behavior to make the process stable within its desired operational range is a topic of common interest within industrial and academic communities. This article presents a dynamic behavior adjustment method based on a washout filter‐aided controller with an improved parameter‐tuning algorithm to stabilize parts of the equilibrium manifold of chemical processes. In addition, applying this method to industrial toluene liquid‐phase catalytic oxidation shows that, by combining a conventional proportional‐integral (PI) controller with the proposed improved washout filter‐aided controller, the performance of set‐point tracking is improved for cases with parameter uncertainty. In general, the proposed dynamic behavior adjustment method will be effective for most chemical processes. © 2016 American Institute of Chemical Engineers AIChE J , 62: 3189–3198, 2016