Extension of first order Predictive Functional Controllers to handle higher order internal models

• Autorzy: Mohamed Tarek Khadir , John V. Ringwood
• Języki publikacji: EN

Abstrakty

EN

Predictive Functional Control (PFC), belonging to the family of predictive control techniques, has been demonstrated as a powerful algorithm for controlling process plants. The input/output PFC formulation has been a particularly attractive paradigm for industrial processes, with a combination of simplicity and effectiveness. Though its use of a lag plus delay ARX/ARMAX model is justified in many applications, there exists a range of process types which may present difficulties, leading to chattering and/or instability. In this paper, instability of first order PFC is addressed, and solutions to handle higher order and difficult systems are proposed. The input/output PFC formulation is extended to cover the cases of internal models with zero and/or higher order pole dynamics in an ARX/ARMAX form, via a parallel and cascaded model decomposition. Finally, a generic form of PFC, based on elementary outputs, is proposed to handle a wider range of higher order oscillatory and non-minimum phase systems. The range of solutions presented are supported by appropriate examples.

Słowa kluczowe

EN

model predictive control; predictive functional control; non-minimum phase systems; oscillatory systems

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2008
• Tom: 18
• Numer: 2
• Strony: 229-239

Daty

wydano

2008

otrzymano

2007-08-08

poprawiono

2007-12-02

Twórcy

autor

Mohamed Tarek Khadir

• Department of Computer Science, University Badji Mokhtar, Annaba, Algeria

autor

John V. Ringwood

• Department of Electronic Engineering, National University of Ireland, Maynooth, Co. Kildare, Ireland

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Identyfikatory

DOI

10.2478/v10006-008-0021-z