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Self-Tuning Cross Profile Control for a Paper Machine

Gräser, Axel ; Neddermeyer, Werner (2023)
Self-Tuning Cross Profile Control for a Paper Machine.
In: IFAC Proceedings Volumes, 1986, 20 (4)
doi: 10.26083/tuprints-00023391
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Self-Tuning Cross Profile Control for a Paper Machine
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 1986
Publisher: IFAC - International Federation of Automatic Control
Journal or Publication Title: IFAC Proceedings Volumes
Volume of the journal: 20
Issue Number: 4
DOI: 10.26083/tuprints-00023391
Corresponding Links:
Origin: Secondary publication service
Abstract:

The paper discusses a self tuning control algorithm for a multivariable plant applied to a grammage cross profile control of a paper machine. The plant model represents the steady-state couplings as well as the dynamics behaviour of the system. The control algorithm handles special situations including the case where the numper of measurments is not equal to the numper of actuators and the case where special actuators are locked.

The whole identification algorithm with a specical filter and an estimation of the required measurment accuary for a succesful identification of the steady-state couplings will be discussed. The paper shows how to proof the stability of the control system including the cases of locked actuators and identification errors.

Finally, the whole conrol system is verified by in house simulations and at a real plant. The obtained control results are discussed.

Uncontrolled Keywords: Computer Control, Direct Digital Control, Paper Industry, Paper Cross Profile Control, Multivariable Control Systems, Decoupling, Stability
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-233912
Additional Information:

Zugl. Konferenzveröffentlichung: IFAC Symposium on Microcomputer Application in Process Control, 22.-25.07.1986, Istanbul, Turkey

Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems
Date Deposited: 28 Apr 2023 08:08
Last Modified: 06 Jul 2023 15:40
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23391
PPN: 50935243X
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