Systems Engineering (ILV)
BackCourse lecturer:
FH-Prof. Dipl.-Ing. Dr.
Wolfgang Werth
Course number | B2.05270.20.110 |
Course code | SYST |
Curriculum | 2018 |
Semester of degree program | Semester 2 |
Mode of delivery | Presencecourse |
Units per week | 3,0 |
ECTS credits | 4,0 |
Language of instruction | German |
Students are able to analyse and mathematically describe technical systems (e.g. ode) and know about important mathematical methods (Laplace transformation, convolution, differential equations, lin algebra).
They can find and evaluate models for simple electrical, mechanical and electromechanical systems and simulate them with computer assistance and are able to calculate system solutions.
They understand descriptions in both the time and frequency domain.
They know about the basic system properties and characterizations of linear systems. They are able to determine characteristic properties from typical system responses. They understand the stability concept for linear systems and evaluate stability using the system descriptions.
Introduction to the area of signal processing:
Signal properties and their relevance
Description of analog and discrete signals
Basic signal manipulations
Signal representation in frequency domain
Signal comparison (energy, power, correlation)
Introduction to system and control engineering fundamentals:
Mathematical description of dynamic systems using differential equations
Application of the Laplace transform
Building simulation models
Calculation and analysis of system responses
Properties of LTI systems
Transfer function, poles, zeros
stability
Important representatives of technical systems (PT1, PTn )
C. Chen, Analog and Digital Control Systems Design, Stauders College Publishing, 1991.
N. Nise, Control Systems Engineering, John Wiley & Sons, Seventh edition 2015.
H. Ungehauen, Regelungstechnik 1, Vieweg, 14.Auflage, 2007.
J. Lunze, Regelungstechnik 1, Springer Verlag, 11.Auflage, 2016.
Richard C. Dorf und Robert H. Bishop, Moderne Regelungssysteme, Pearson Studium, 2006.
Lecture with integrated exercises
MATLAB and SIMULINK exercises (in groups of 20 students max)
Homework
MATLAB/SIMULINK-exercises,
written or oral exam