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A learning feedforward control strategy for the concentration control of recycle reactors. Part II: Disturbance control
Author(s) -
Schnitzlein Klaus,
Löwe Arno
Publication year - 1993
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.270160106
Subject(s) - feed forward , control theory (sociology) , decoupling (probability) , multivariable calculus , control (management) , control engineering , process (computing) , control system , engineering , process control , adaptive control , computer science , artificial intelligence , electrical engineering , operating system
A disturbance control scheme for the concentration control of differential recycle reactors is developed which is based on the learning feedforward control strategy. Steady‐state decoupling eliminates interactions between the closed loops of this non‐linear, multivariable control system, thereby significantly improving the response to disturbances. Since the process model is iteratively updated, the control strategy can be regarded as a model identification adaptive control. Simulation experiments show the performance of the overall control concept.