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Control Engineering II

Module name (EN):
Name of module in study programme. It should be precise and clear.
Control Engineering II
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2005
Module code: MST601
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+2PA (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: 6
Mandatory course: yes
Language of instruction:
German
Assessment:
Written exam, project work

[updated 12.08.2012]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MST601 Mechatronics and Sensor Technology, Bachelor, ASPO 01.10.2005 , semester 6, 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 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):
MST406 Systems Theory
MST502 Control Engineering I


[updated 12.08.2012]
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Benedikt Faupel
Lecturer: Prof. Dr. Benedikt Faupel

[updated 01.10.2005]
Learning outcomes:
Students will be taught how to handle and apply mathematical methods for solving practical control problems. They will understand and be able to use digital control systems and phase-state control concepts. Building on their knowledge of classical control engineering, students will acquire a good command of modern mathematical methods and know how to deploy them in a targeted and practical manner for solving real problems.

[updated 12.08.2012]
Module content:
1. Introduction and fundamentals of digital control engineering
   Operating principles of digital control systems
   Fundamental aspects including the mathematical description of digital   
   control systems
   Introduction and application of the z-transform
   Functional description and representation of elementary digital transfer  
   elements
 
2. Control algorithms for digital control systems
   PID algorithm
   Compensation algorithms
 
3. State space
   Introduction to state-space representation
   Time-domain solutions to the state equation
   Frequency-domain solutions to the state equation
   Basic mathematical representations (normal form , diagonal form, Jordan  
   normal form)
   Controllability and observability
 
4. Synthesis of linear control systems in state space
 
5. Adaptive control
 
6. Multivariable control

[updated 12.08.2012]
Teaching methods/Media:
Lectures and problem-solving classes

[updated 12.08.2012]
Recommended or required reading:
Unbehauen, H.: Regelungstechnik II und II;  Vieweg Verlag, Braunschweig; 2001
Lutz, H.; Wendt, W.: Taschenbuch der Regelungstechnik; 3. Auflage; Verlag Harri Deutsch, Frankfurt/Main 2000.
Föllinger, O.: Regelungstechnik; 8. Auflage; Hüthig Verlag, Heidelberg 1994.
Meyr, H.: Regelungstechnik und Systemtheorie.  Wissenschaftsverlag Mainz, Aachen, 2000.
L. Merz; H. Jaschek: Grundkurs der Regelungstechnik, Oldenbourg Verlag, München, 1985.
Leonard, W.: Einführung in die Regelungstechnik; 6. Auflage. Vieweg Verlag, Braunschweig 1992.
Schlüter, G.: Digitale Regelungstechnik interaktiv. Fachverlag Leipzig, 2000.

[updated 12.08.2012]
[Sun May 19 03:07:41 CEST 2024, CKEY=retech2, BKEY=mst, CID=MST601, LANGUAGE=en, DATE=19.05.2024]