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Lab Course: Systems Theory and Control Engineering

(course inactive since 04.10.2021)

Module name (EN):
Name of module in study programme. It should be precise and clear.
Lab Course: Systems Theory and Control Engineering
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2019
Module code: MST2.PSYS
SAP-Submodule-No.:
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.
P231-0118
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for άbung), 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.
4P (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.
4
Semester: 5
Mandatory course: no
Language of instruction:
German
Assessment:
Term paper

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

MST2.PSYS (P231-0118) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2019 , semester 5, optional course, technical, course inactive since 04.10.2021
MST2.PSYS (P231-0118) Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2020 , semester 5, optional course, technical, course inactive since 04.10.2021

Suitable for exchange students (learning agreement)
Workload:
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 120 hours (equivalent to 4 ECTS credits).
There are therefore 75 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
MST2.ELE Electronics
MST2.ELT Electrical Engineering
MST2.SYS1 System Theory and Control Engineering 1


[updated 29.03.2021]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr.-Ing. Barbara Hippauf
Lecturer:
Prof. Dr.-Ing. Barbara Hippauf (practical training)


[updated 29.03.2021]
Learning outcomes:
After successfully completing this module, students will be familiar with methods from systems theory and control engineering and be able to implement them in laboratory setups.
•They will be able to interpret and evaluate test results according to systems theory and control engineering methods.
 
• They will be able to use the tools and equipment typical for control engineering.
• 
 
 
 


[updated 25.05.2021]
Module content:
        Basic concepts of control engineering, command and disturbance behavior.
•        Recording static and dynamic characteristics of a controlled system.
•        Describing dynamic systems in the time and frequency domains: Frequency response, Bode plots and transfer function.
• 
        Disturbances
•        Control loop design
•        Simulating controlled systems and control loops
•        Properties and structure of continuous controllers
•        Studying the stability of control loops and their behavior
•        Introduction to simulation technology using different tools (Matlab, Matlab-Simulink; WinFACT: BORIS, LISA, IDA; Python).
Seminar-style teaching, practical work in the laboratory using experimental setups, 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.
•        Gert Schüter: 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]
 
[Thu Nov 21 15:11:58 CET 2024, CKEY=mpsur, BKEY=mst3, CID=MST2.PSYS, LANGUAGE=en, DATE=21.11.2024]