Buch
Link zu kassel university press
Robust Model Predictive Control for Large-Scale Manufacturing Systems subject to Uncertainties
Abstract
Large scale manufacturing systems are often run with constant process parameters although continuous and abrupt disturbances influence the process. To reduce quality variations and scrap, a closed-loop control of the process variables becomes indispensable. In this thesis, a modeling and control framework for multistage manufacturingsystems is developed, in which the systems are subject to abrupt faults, such as component defects, and continuous disturbances. In this context, three main topics are considered: the development of a modeling framework, the design of robust distributed controllers, and the application of both to the models of a real hot stamping line. The focus of all topics is on the control of the product properties considering the available knowledge of faults and disturbances.
Additional Information
Zugleich: Dissertation, Universität Kassel, 2017Druckausgabe
Link zu kassel university press
Citation
@book{doi:10.19211/KUP9783737604499,
urn:nbn:de:0002-404490,
author={Tonne, Jens},
title={Robust Model Predictive Control for Large-Scale Manufacturing Systems subject to Uncertainties},
publisher={kassel university press},
year={2018}
}
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5550 {{Fertigungsanlage}}
5550 {{Prozessregelung}}
5550 {{Unsicherheit}}
5550 {{Markov-Sprungprozess}}
5550 {{Modellprädiktive Regelung}}
5550 {{Robuste Regelung}}
5550 {{Heißprägen}}
5550 {{Massenfertigung}}
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<resource xsi:schemaLocation="http://datacite.org/schema/kernel-2.2 http://schema.datacite.org/meta/kernel-2.2/metadata.xsd"> 2023-06-09T09:51:10Z 2023-06-09T09:51:10Z 2018 doi:10.19211/KUP9783737604499 978-3-7376-0449-9 (ebook) urn:nbn:de:0002-404490 http://hdl.handle.net/123456789/14809 Zugleich: Dissertation, Universität Kassel, 2017 eng kassel university press Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ 620 650 670 Robust Model Predictive Control for Large-Scale Manufacturing Systems subject to Uncertainties Buch Large scale manufacturing systems are often run with constant process parameters although continuous and abrupt disturbances influence the process. To reduce quality variations and scrap, a closed-loop control of the process variables becomes indispensable. In this thesis, a modeling and control framework for multistage manufacturingsystems is developed, in which the systems are subject to abrupt faults, such as component defects, and continuous disturbances. In this context, three main topics are considered: the development of a modeling framework, the design of robust distributed controllers, and the application of both to the models of a real hot stamping line. The focus of all topics is on the control of the product properties considering the available knowledge of faults and disturbances. open access Tonne, Jens 2017-11-29 viii, 241 Seiten Kassel, Universität Kassel, Fachbereich Elektrotechnik / Informatik Stursberg, Olaf (Prof. Dr.-Ing.) Kroll, Andreas (Prof. Dr.-Ing.) Kassel 978-3-7376-0448-2 (print) Fertigungsanlage Prozessregelung Unsicherheit Markov-Sprungprozess Modellprädiktive Regelung Robuste Regelung Heißprägen Massenfertigung publishedVersion true 49,00 Naturwissenschaft, Technik, Informatik, Medizin Dissertation FB 16 Elektrotechnik / Informatik true Softcover DIN A5 true </resource>
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