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Process Systems Engineering
Covariance-based hardware selection-part III: Distributed parameter systems
Article first published online: 2 NOV 2011
DOI: 10.1002/aic.12782
Copyright © 2011 American Institute of Chemical Engineers (AIChE)
Additional Information
How to Cite
Ahmed, S. K., Peng, J.-K. and Chmielewski, D. J. (2012), Covariance-based hardware selection-part III: Distributed parameter systems. AIChE J., 58: 2705–2713. doi: 10.1002/aic.12782
Publication History
- Issue published online: 8 AUG 2012
- Article first published online: 2 NOV 2011
- Accepted manuscript online: 26 SEP 2011 09:32AM EST
- Manuscript Revised: 21 SEP 2011
- Manuscript Received: 9 FEB 2011
Funded by
- National Science Foundation. Grant Number: (CBET - 0967906)
- Department of Chemical and Biological Engineering
- Armour College of Engineering at the Illinois Institute of Technology
- Abstract
- Article
- References
- Cited By
Keywords:
- sensor selection;
- actuator selection;
- process control;
- optimization;
- linear matrix inequalities;
- mixed integer convex programming
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