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Optimal controlled variables for polynomial systems
- Source :
-
Journal of Process Control . Jan2012, Vol. 22 Issue 1, p167-179. 13p. - Publication Year :
- 2012
-
Abstract
- Abstract: We present a method for finding optimal controlled variables, which are polynomial combinations of measurements. Controlling these variables gives optimal steady state operation. Our work extends the concept of self-optimizing control; starting from the first-order necessary optimality conditions, any unknown variables are eliminated using elimination theory for polynomial systems to obtain invariant variable combinations, which contain only known variables (measurements). If a disturbance causes the active constraints to change, the invariants may be used to identify, and switch to the right region. This makes the method applicable over a wide disturbance range with changing active sets. The procedure is applied to two case studies of continuous stirred tank reactors. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 09591524
- Volume :
- 22
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of Process Control
- Publication Type :
- Academic Journal
- Accession number :
- 70037426
- Full Text :
- https://doi.org/10.1016/j.jprocont.2011.09.005