Extension of first order predictive functional controllers to handle higher order internal models

• Autorzy: Khadir M. T. , Ringwood J. V.
• 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

PL

sterowanie predykcyjne; system fazowy; system oscylacyjny

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2008
• Tom: Vol. 18, no 2
• Strony: 229--239
• Opis fizyczny: Bibliogr. 23 poz., tab., wykr.

Twórcy

autor

Khadir M. T.

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

autor

Ringwood J. V.

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

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