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Modern Methods of Control Loop Technology

Module name (EN):
Name of module in study programme. It should be precise and clear.
Modern Methods of Control Loop Technology
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering, Master, ASPO 01.10.2005
Module code: E901
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+1PA (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.
5
Semester: 9
Mandatory course: yes
Language of instruction:
German
Assessment:
Oral examination, project work

[updated 12.03.2010]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E901 Electrical Engineering, Master, ASPO 01.10.2005 , semester 9, mandatory course
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 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):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Benedikt Faupel
Lecturer:
Prof. Dr. Benedikt Faupel


[updated 12.03.2010]
Learning outcomes:
In this module students will acquire expertise in selecting and applying complex methods and tools for optimizing multivariate control systems. The project work that forms part of the module provides students with an opportunity to apply the theoretical tools to practically relevant control problems. With the skills and knowledge acquired in this course, students will have the confidence to select and apply the methods learned to complex control problems.

[updated 12.03.2010]
Module content:
1.State-space models and multivariate control (state observers, Kalman filters)
2.Adaptive control techniques
3.Introduction and application of the H∞ (‘H infinity’) criterion
4.Robust control
5.Use of mathematical methods (neural networks, genetic algorithms)  
6.Project work based on a range of industrial and lab applications (e.g.:  
  controlling a gyroscopic system, drive control for paper and metal foils moving
  at high speeds, dosimetry and weighing technology in the process industries,  
  control applications in the automotive sector)
7.Short talks by students on innovative control concepts as part of the lectures  
  with discussion of results.

[updated 12.03.2010]
Teaching methods/Media:
Lecture notes, overhead transparencies, video projector, PC, CD

[updated 12.03.2010]
Recommended or required reading:
At the beginning of the course, students will be issued with a CD containing all the teaching material used in this module. The CD also contains a complete and regularly updated list of recommended reading materials.

[updated 12.03.2010]
 
[Sun Dec 22 16:49:07 CET 2024, CKEY=emmoclt, BKEY=em, CID=E901, LANGUAGE=en, DATE=22.12.2024]