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Intelligent control of a nonlinear tank reactor
Author(s) -
Mohammadzaheri Morteza,
Chen Lei
Publication year - 2011
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.347
Subject(s) - setpoint , continuous stirred tank reactor , control theory (sociology) , transient (computer programming) , controller (irrigation) , control engineering , steady state (chemistry) , model predictive control , engineering , intelligent control , control system , nonlinear system , control (management) , computer science , artificial intelligence , chemistry , agronomy , physics , electrical engineering , quantum mechanics , chemical engineering , biology , operating system
In this paper, intelligent control of a particular Catalytic Continuous Stirred Tank Reactor (CSTR) is addressed. Control command is the sum of two components: steady state and transient commands. A fuzzy controller generates a transient control command that pushes the system towards the setpoint. A steady state control command is generated to maintain the steady state situation at the setpoint (based on the concept of ‘control equilibrium point’). For comparison, a case study was also controlled by the neuro‐predictive algorithm. The studied CSTR is known as a good example of a neuro‐predictive control application; however, the newly proposed hybrid intelligent method leads to much better setpoint tracking as well as less change in control command (which is very important in implementation of the control system).