Hard constraints in control and state variables of multivariable nonlinear processes resolved by elementary nonlinear decoupling

A model based control strategy for nonlinear multivariable processes having hard constraints on both control and state variables, is derived based upon the concept of Elementary Nonlinear Decoupling (END). In END a property space is defined which has the same dimension as the control space and which...

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Bibliographic Details
Published inModeling, identification and control Vol. 19; no. 1; pp. 3 - 11
Main Authors BALCHEN, J. G, SANDRIB, B
Format Journal Article
LanguageEnglish
Published Oslo Research Council of Norway 1998
Norsk Forening for Automatisering (NFA)
Norwegian Society of Automatic Control
Subjects
Applied sciences
Computer science; control theory; systems
Control theory. Systems
Exact sciences and technology
Multivariable control
nonlinear control
nonlinear decoupling
Process control. Computer integrated manufacturing
Chemical reactor
Decoupling
Multivariable control
Constraint
Process control
Non linear control
Optimization
Stirred tank reactor
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Summary:A model based control strategy for nonlinear multivariable processes having hard constraints on both control and state variables, is derived based upon the concept of Elementary Nonlinear Decoupling (END). In END a property space is defined which has the same dimension as the control space and which permits inverse control. An optimization procedure is used to design a property transformation that gives the best solution in terms of performance, stability, robustness, etc. This control strategy is shown to be convenient when control and state variables are subject to hard constraints. When constraint limits are reached, new property variables are introduced which approximate the variables to be constrained and thereby achieving fast and accurate control on constraint boundaries.
ISSN:0332-7353
1890-1328
DOI:10.4173/mic.1998.1.1