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A general analysis and control framework for process systems with inventory recycling
Author(s) -
Baldea M.,
Daoutidis P.
Publication year - 2013
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.3029
Subject(s) - feed forward , process (computing) , process dynamics , computer science , scale (ratio) , exploit , stability (learning theory) , control (management) , system dynamics , control theory (sociology) , control engineering , work in process , energy (signal processing) , class (philosophy) , work (physics) , process control , industrial engineering , mathematical optimization , engineering , mathematics , operations management , artificial intelligence , mechanical engineering , physics , statistics , computer security , quantum mechanics , machine learning , operating system
SUMMARY In this work, we generalize our previous results concerning the impact of material recycling and energy recovery on plant dynamics and control. We define a generic class of integrated process systems, in which an extensive quantity that obeys conservation laws is recovered from the process output and recycled to the process feed; the operation of the system is assumed to be subject to time‐varying, measurable disturbances. We establish, in this general case, that integration is conducive to the emergence of a two‐time‐scale dynamic behavior and derive reduced‐order models for the dynamics in each time scale. Subsequently, we postulate a hierarchical control framework that exploits these dynamics results in the design of coordinated fast and slow feedback/feedforward controllers and formulate a stability result for the closed‐loop system. We demonstrate these concepts on a case study concerning an energy‐integrated process. Copyright © 2013 John Wiley & Sons, Ltd.