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Methods for the Representation of Dynamic Systems

Module name (EN):
Name of module in study programme. It should be precise and clear.
Methods for the Representation of Dynamic Systems
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechatronics, Master, ASPO 01.04.2020
Module code: MTM.DYN
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
Semester: according to optional course list
Mandatory course: no
Language of instruction:
Written exam

[updated 25.05.2021]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MTM.DYN (P231-0132) Mechatronics, Master, ASPO 01.04.2020 , optional course
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
Recommended as prerequisite for:
Module coordinator:
Prof. Dr.-Ing. Barbara Hippauf
Prof. Dr.-Ing. Barbara Hippauf (lecture/exercise)

[updated 31.03.2021]
Learning outcomes:
•        After successfully completing this module, students will be able to describe dynamic, mechatronic systems.
•        They will be familiar with methods for numerical simulation in dynamics.
•        They will be able to solve complex differential equations in state space.
•        Students will be able to simulate dynamic systems with different tools.
•        They will be familiar with methods for discretizing dynamic systems.

[updated 25.05.2021]
Module content:
•        Mathematical principles of dynamics
•        Applications in mechanics, electrical engineering and mechatronics
•        Modeling dynamic systems
•        Simulation technology using different tools (Matlab, Matlab-Simulink; WinFACT: BORIS, LISA, IDA; Python).
Lecture, System simulation on the PC

[updated 25.05.2021]
Recommended or required reading:
•        Kahlert, J.: Crashkurs Regelungstechnik, 4. Auflage, VDE-Verlag 2020.
•        Kahlert, J.: Einführung in WinFACT, Hanser Verlag 2009.
•        Hans-Werner Phillippsen: Einstieg in die Regelungstechnik mit Python, Hanser Verlag 3 Auflage, 2019.
•        Katsuhiko Ogata, Matlab for Control Engineers, Pearson Prentice Hall 2008.
•        Katsuhiko Ogata, Modern Control Systems, Pearson Prentice Hall 2016.
•        Katsuhiko Ogata, Modern Control Engineering, Pearson Prentice Hall 2008.
•        Katsuhiko Ogata, Discrete Time Control Systems, Pearson Prentice Hall 1995.
•        Gert Schlüter: Regelung technischer Systeme- interaktiv, Fachbundverlag Leipzig 2001.
•        Anneliese Böttiger, Regelungstechnik, 3 Auflage, Oldenbourg Verlag 1998.
•        Otto Föllinger: Regelungstechnik, Einführung in die Methoden und ihre Anwendung, 12 Auflage, VDE Verlag 2016.
        Course slides, practical training documents and lecture notes

[updated 25.05.2021]
[Sat Jun 22 00:51:21 CEST 2024, CKEY=mmzdds, BKEY=mechm, CID=MTM.DYN, LANGUAGE=en, DATE=22.06.2024]