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2010 | 20 | 3 | 483-495
Tytuł artykułu

Supervisory predictive control and on-line set-point optimization

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Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The subject of this paper is to discuss selected effective known and novel structures for advanced process control and optimization. The role and techniques of model-based predictive control (MPC) in a supervisory (advanced) control layer are first shortly discussed. The emphasis is put on algorithm efficiency for nonlinear processes and on treating uncertainty in process models, with two solutions presented: the structure of nonlinear prediction and successive linearizations for nonlinear control, and a novel algorithm based on fast model selection to cope with process uncertainty. Issues of cooperation between MPC algorithms and on-line steady-state set-point optimization are next discussed, including integrated approaches. Finally, a recently developed two-purpose supervisory predictive set-point optimizer is discussed, designed to perform simultaneously two goals: economic optimization and constraints handling for the underlying unconstrained direct controllers.
Rocznik
Tom
20
Numer
3
Strony
483-495
Opis fizyczny
Daty
wydano
2010
otrzymano
2010-02-04
poprawiono
2010-06-16
Twórcy
  • Institute of Control and Computation Engineering, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland
Bibliografia
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Typ dokumentu
Bibliografia
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