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Control Engineering and its Applications

Module name (EN):
Name of module in study programme. It should be precise and clear.
Control Engineering and its Applications
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018
Module code: E2604
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.
P211-0074
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.
2V+1U (3 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: 6
Mandatory course: yes
Language of instruction:
German
Assessment:
Oral examination

[updated 08.01.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E2604 (P211-0074) Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018 , semester 6, mandatory course, technical
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).
45 class hours (= 33.75 clock hours) over a 15-week period.
The total student study time is 120 hours (equivalent to 4 ECTS credits).
There are therefore 86.25 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Benedikt Faupel
Lecturer: Prof. Dr. Benedikt Faupel

[updated 10.09.2018]
Learning outcomes:
After successfully completing this course, students will be able to describe and apply concepts, methods and applications from the field of digital signals and signal processing to control engineering tasks. They will be able to transfer mathematical correlations of continuous systems to digital systems and adapt corresponding design methods with established setting rules. Students will be able to create and optimize models and simulations of digital control loop systems with simulation tools.

[updated 08.01.2020]
Module content:
1. Introduction and motivation 2. Fundamentals of digital signals and systems: sampling / quantization / discrete convolution / sequences and series / difference equation / analog value processing in PLC systems 3. Introduction to Z-transform / calculation rules / working with correspondence tables / transfer systems / signal-flow diagram 4. Digitization of control loop structures (digital PID algorithm, controlled systems) 5. Designing digital controllers 6. Setting rules for digital controllers 7. Designing dead-beat controllers 8. A comparison of analog and digital control systems 9. Simulation of digital control loops in Matlab and Simulink

[updated 08.01.2020]
Teaching methods/Media:
Presentation, lab equipment, control engineering/process automation lab

[updated 08.01.2020]
Recommended or required reading:
Braun, Anton: Digitale Regelungstechnik, Oldenbourg, 1997, ISBN 978-3-486-24027-6 Isermann, Rolf: Digitale Regelsysteme: Band 1: Grundlagen, deterministische Regelungen, Springer Vieweg, (latest edition) Lunze, Jan: Regelungstechnik 2: Mehrgrößensysteme, Digitale Regelung, Springer Vieweg, (latest edition)

[updated 08.01.2020]
 
[Sun Oct  6 05:46:04 CEST 2024, CKEY=e3E2604, BKEY=ei, CID=E2604, LANGUAGE=en, DATE=06.10.2024]