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Covariance‐based hardware selection‐part III: Distributed parameter systems
Author(s) -
Ahmed Syed K.,
Peng JuiKun,
Chmielewski Donald J.
Publication year - 2012
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.12782
Subject(s) - actuator , selection (genetic algorithm) , state (computer science) , computer science , scheme (mathematics) , control (management) , mathematical optimization , control engineering , control theory (sociology) , engineering , algorithm , mathematics , artificial intelligence , mathematical analysis
Abstract In this article, we propose a new method for the selection of control system hardware (sensors and actuators) for distributed parameter systems. The proposed design scheme seeks to minimize the capital cost of hardware while satisfying predefined performance constraints. Within this minimum capital cost framework, three design scenarios will be discussed; the closed‐loop full state information actuator selection problem, the open‐loop partial state information sensor selection problem, and the closed‐loop partial state information simultaneous sensor and actuator selection problem. The proposed method will be illustrated through application to a nonisothermal tubular reactor example. © 2011 American Institute of Chemical Engineers AIChE J, 2012