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Stability issues for First Order Predictive Functional Controllers: Extension to Handle Higher Order Internal Models
Khadir, Mohamed Tarek; Ringwood, John
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.
Keyword(s): Electronic Engineering; Model predictive control; predictive functional control; non-minimum phase systems; oscillatory systems
Publication Date:
2005
Type: Conference item
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Khadir, Mohamed Tarek 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.
File Format(s): application/pdf
Related Link(s): http://eprints.maynoothuniversity.ie/1976/1/JR_C102PFC.pdf
First Indexed: 2014-09-20 05:06:25 Last Updated: 2018-05-23 06:12:55