Stability issues for First Order Predictive Functional Controllers: Extension to Handle Higher Order Internal Models


Khadir, Mohamed Talek and Ringwood, John (2005) Stability issues for First Order Predictive Functional Controllers: Extension to Handle Higher Order Internal Models. In: ICSIT'05, International Conference on Computer Systems and Information Technology, July 19-21 2005, Algiers, Algeria.

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Abstract

Predictive Functional Control (PFC), belonging to the family of predictive control techniques, has been demonstrated as a powerful algorithm for controlling process plants. The first order 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, it may lead 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.

Item Type: Conference or Workshop Item (Paper)
Keywords: Model predictive control; predictive functional control; non-minimum phase systems; oscillatory systems;
Academic Unit: Faculty of Science and Engineering > Electronic Engineering
Item ID: 1976
Depositing User: Professor John Ringwood
Date Deposited: 02 Jun 2010 15:48
Refereed: Yes
URI:

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