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Titolo:
Constrained predictive control for multivariable systems with application to power systems
Autore:
Ordys, AW; Kock, P;
Indirizzi:
Univ Strathclyde, Dept Elect & Elect Engn, Ind Control Ctr, Glasgow G1 1QE, Lanark, Scotland Univ Strathclyde Glasgow Lanark Scotland G1 1QE G1 1QE, Lanark, Scotland MAN GmbH, Munich, Germany MAN GmbH Munich GermanyMAN GmbH, Munich, Germany
Titolo Testata:
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
fascicolo: 11, volume: 9, anno: 1999,
pagine: 781 - 797
SICI:
1049-8923(199909)9:11<781:CPCFMS>2.0.ZU;2-T
Fonte:
ISI
Lingua:
ENG
Keywords:
MBPC; GPC; DPC; constraints; optimal control; quadratic programming; MATLAB; Simulink;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
9
Recensione:
Indirizzi per estratti:
Indirizzo: Ordys, AW Univ Strathclyde, Dept Elect & Elect Engn, Ind Control Ctr, Graham Hills Bldg,50 George St, Glasgow G1 1QE, Lanark, Scotland Univ Strathclyde Graham Hills Bldg,50 George St Glasgow Lanark Scotland G1 1QE
Citazione:
A.W. Ordys e P. Kock, "Constrained predictive control for multivariable systems with application to power systems", INT J ROBUS, 9(11), 1999, pp. 781-797

Abstract

Generalized predictive control (GPC) and dynamic performance predictive control (DPC) algorithms are introduced for industrial applications. Constraints on plant input rate, plant absolute input and plant absolute output canbe implemented and are demonstrated on an application of these algorithms. A standard quadratic programming algorithm performs the calculation of theoptimal control. A MATLAB/Simulink toolbox environment has been developed where controllers can be designed, linear and non-linear plant models can be embedded, discrete- and continuous-time loop parts can be mixed and simulation results can be managed and evaluated by graphical and statistical tools. This package utilises a graphical user interface. Finally, a case studydesign example is presented where a linear gas turbine model for power generation is examined with constrained GPC and DPC, and the advantages and drawbacks of the approach are the discussed. Copyright (C) 1999 John Wiley & Sons, Ltd.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/09/20 alle ore 00:02:20