title: Pole-placement Predictive Functional Control for over-damped systems with real poles.
abstract: This paper gives new insight and design proposals for Predictive Functional Control (PFC) algorithms. Common practice and indeed a requirement of PFC is to select a coincidence horizon greater than one for high-order systems and for the link between the design parameters and the desired dynamic to be weak. Here the proposal is to use parallel first-order models to form an independent prediction model and show that with these it is possible both to use a coincidence horizon of one and moreover to obtain precisely the desired closed-loop dynamics. It is shown through analysis that the use of a coincidence horizon of one greatly simplifies coding, tuning, constraint handling and implementation. The paper derives the key results for high-order and non-minimum phase processes and also demonstrates the flexibility and potential industrial utility of the proposal.
authors.affiliation: Department of Automatic Control and Systems Engineering, University of Sheffield, S1 3JD, UK. Electronic address: j.a.rossiter@sheffield.ac.uk.
authors.forename: J A
authors.initials: JA
authors.lastname: Rossiter
authors.affiliation: University of Applied Science Cologne, Department of Plant and Process Engineering, D-50679 Kln, Betzdorfer Str. 2, Germany. Electronic address: robert.haber@fh-koeln.de.
authors.forename: R
authors.initials: R
authors.lastname: Haber
authors.affiliation: University of Applied Science Cologne, Department of Plant and Process Engineering, D-50679 Kln, Betzdorfer Str. 2, Germany.
authors.forename: K
authors.initials: K
authors.lastname: Zabet
keywords: PFC; Predictive control; Tuning; Uncertainty