NDLI: Constrained model predictive control implementation in an industrial drying process

Content Provider	IEEE Xplore Digital Library
Author	Schuster, A. Kozek, M.
Copyright Year	2009
Description	Author affiliation: Institute for Mechanics and Mechatronics, Vienna University of Technology, Vienna, Austria (Schuster, A.; Kozek, M.)
Abstract	In this paper a dynamic model of a drying process, specifically established for model predictive control (MPC) strategy, is derived. An MPC controller is implemented at the real plant and the performance of classical PID feedback control and MPC is compared. This paper especially addresses the following issues: 1. Modelling of a continuous convective through-air-drying process for viscose staple fibres with nonlinear drying kinetics. Stationary and dynamical validation of the model in different operating points are shown. 2. MPC strategies with constraints in both manipulated and controlled variables are applied. Utilising the linearised model classical approaches of MPC in state space formulation are tested in simulation. 3. Results from the implementation at the real drying process are shown. The control algorithm includes constraints and successfully compensates a measurable disturbance with dead time.
Starting Page	191
Ending Page	196
File Size	259075
Page Count	6
File Format	PDF
ISBN	9781424453108
DOI	10.1109/ICCCYB.2009.5393939
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-26
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mechatronics Industrial control Predictive models Nonlinear control systems Control systems Kinetic theory State-space methods Optical fiber testing Control nonlinearities Predictive control
Content Type	Text
Resource Type	Article

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