Multi-rate model predictive control algorithm for systems with fast-slow dynamics

This study proposes a novel multi-rate model predictive control (MPC) scheme for linear discrete-time systems subject to input constraints. The proposed scheme consists of two control layers, acting at two different timescales. At a slow timescale, the outputs associated with the slow dynamics are s...

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Veröffentlicht in:IET control theory & applications Jg. 12; H. 18; S. 2468 - 2477
Hauptverfasser: Zhang, Xinglong, Farina, Marcello, Spinelli, Stefano, Scattolini, Riccardo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 18.12.2018
Schlagworte:
closed loop systems
control system synthesis
controlled variables
discrete time systems
fast‐slow dynamics
input constraints
linear discrete‐time systems
linear systems
multirate model predictive control algorithm
novel multirate model predictive control scheme
open‐loop dynamics
predictive control
Research Article
shrinking horizon MPC regulator
steam output flow rate
open-loop dynamics
discrete time systems
input constraints
control system synthesis
linear systems
linear discrete-time systems
closed loop systems
shrinking horizon MPC regulator
novel multirate model predictive control scheme
controlled variables
fast-slow dynamics
multirate model predictive control algorithm
predictive control
steam output flow rate
ISSN:1751-8644, 1751-8652
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Beschreibung
Zusammenfassung:This study proposes a novel multi-rate model predictive control (MPC) scheme for linear discrete-time systems subject to input constraints. The proposed scheme consists of two control layers, acting at two different timescales. At a slow timescale, the outputs associated with the slow dynamics are steered to their reference values while at a fast timescale, a shrinking horizon MPC regulator is designed to refine the control action computed at the slow timescale. The proposed control scheme shows to be particularly useful, not only to control systems with different open-loop dynamics but also in cases when the controlled variables are required to have different responsiveness in a closed loop. Simulation results on a fire tube boiler example are reported, which indeed show that different dynamics can be efficiently imposed on the controlled variables, i.e. the boiler pressure and the water level, in the presence of variations of the disturbance represented by the steam output flow rate.
ISSN:1751-8644
1751-8652
DOI:10.1049/iet-cta.2018.5220