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Model-Based Control of a Large-Scale Ball-on-Plate System With Experimental Validation

Kastner, Adam 1; Inga, Jairo 1; Blauth, Thomas 1; Köpf, Florian 1; Flad, Michael 1; Hohmann, Sören 1
1 Institut für Regelungs- und Steuerungssysteme (IRS), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

A ball-on-plate system is a widespread education oriented laboratory experiment for automation in mechatronics. The setup combines elements of mechanical, electrical and control engineering and is an adequate setup for learning the combination of theory and practice. This paper presents an example of a workshop result on automatic control in mechatronics. The aim of the workshop is to develop and compare model-based approaches for ball position control in a given large-scale ball-on-plate system. The result includes the derivation of a non-linear state space model of the system. The equations are linearized in the center of the horizontal plate as an operating point in order to apply cascade control, linear-quadratic optimal control and PI optimal state feedback control. The algorithms are implemented on a microcontroller and tested in the experimental setup. The results show a successful control development which achieves the control goal with good performance in terms of command response.


Postprint §
DOI: 10.5445/IR/1000092722
Veröffentlicht am 01.01.2021
Originalveröffentlichung
DOI: 10.1109/ICMECH.2019.8722850
Scopus
Zitationen: 2
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Regelungs- und Steuerungssysteme (IRS)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator ISBN: 978-1-5386-6959-4
urn:nbn:de:swb:90-927225
KITopen-ID: 1000092722
Erschienen in IEEE International Conference on Mechatronics (ICM )
Veranstaltung IEEE International Conference on Mechatronics (ICM 2019), Ilmenau, Deutschland, 18.03.2019 – 20.03.2019
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 257-262
Nachgewiesen in Scopus
Dimensions
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