Modul mit Lehrveranstaltungsdetails

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Complex Automation Systems
Complex Automation Systems
ME121
KomplSysAuto-01-MA-M
Prof. Dr. Wree, Christoph (christoph.wree@haw-kiel.de)
Sommersemester 2027
1 Semester
In der Regel im Sommersemester
Englisch
Studiengänge und Art des Moduls (gemäß Prüfungsordnung)
Studiengang Vertiefungsrichtung Schwerpunkt Modulart Fachsemester
M.Eng. - BT - Battery Technologies Pflichtmodul
Kompetenzen / Lernergebnisse
Kompetenzbereiche: Wissen und Verstehen; Einsatz, Anwendung und Erzeugung von Wissen; Kommunikation und Kooperation; Wissenschaftliches Selbstverständnis/Professionalität.
Students are able to apply concepts and methods for the structured design of complex automation systems (AS).
Students are able to apply concepts and methods for the structured design of complex automation systems (AS).
Students can analyze, explain, design and implement complex automation systems.
Students can discuss, solve and coherently explain complex technical problems in a team.
Students can
- define goals for learning and work processes,
- recognize, describe and explain requirements.
Angaben zum Inhalt
Lecture content:
Important standards for the design of automation systems (AS)
Procedure models for the design of AS
Possibilities of system modeling and simulation for IEC 61131-based AS
Agent-oriented software development for IEC 61131-based AS
Coordination of parallel processes with Petri nets
Motion planning for production cells
Mechanisms for identifying workpieces (vision, RFID)
Machine learning for AS
Cloud-based services for AS
Condition monitoring
Virtual reality and augmented reality for AS
AS for battery production (production machines for lithium-ion battery cells: laser cutting, welding, ablation machines; composite foil formation machines; filling and soaking process machines; degassing and sealing machines; module manufacturing machines; testing and inline process monitoring machines)

Laboratory content:
Programming of roll-to-roll foil transport system (TwinCAT)
PLC-based programming of a delta robot (TwinCAT)
Virtual commissioning of a delta robot in 3D (TwinCAT, Unity)
Programming of a production cell with transport system (Beckhoff XTS, TwinCAT)
Machine vision (TwinCAT Vision)
Object classification with machine learning (TwinCAT ML)
Vogel-Heuser, B., Bauernhansl, T., & ten Hompel, M. (eds.). Handbuch Industrie 4.0 [Handbook Industry 4.0]. Springer Vieweg.
Hippenmeyer, H., & Moosmann, T. Automatische Identifikation für Industrie 4.0 [Automatic Identification for Industry 4.0]. Springer Vieweg.
Bindel, T., & Hofmann, D. Projektierung von Automatisierungsanlagen [Design and Engineering of Automation Systems]. Springer Vieweg.
Göhner, P. (ed.). Agentensysteme in der Automatisierungstechnik [Multi-Agent Systems in Automation Technology]. Springer.
Lunze, J. Automatisierungstechnik [Automation Technology]. De Gruyter Oldenbourg
Lehrveranstaltungen
Arbeitsaufwand
4 SWS
5,0 Leistungspunkte
48 Stunden
102 Stunden
Modulprüfung
Prüfungsform Dauer Gewichtung wird angerechnet gem. § 11 Absatz 2 PVO Benotet Anmerkung
Laborprüfung 0 % Successful completion of all 6 laboratory experiments is required to pass the module.
Technischer Test 90 Minuten 100 %
Sonstiges
PLC programming knowledge is required
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