course: Modellierung und Entwurf dynamischer Systeme

number:
139070
teaching methods:
lecture with tutorials
media:
computer based presentation
responsible person:
Prof. Dr.-Ing. Martin Mönnigmann
lecturer:
Dr.-Ing. Sebastian Leonow (Maschinenbau)
language:
german
HWS:
4
CP:
6
offered in:
winter term

dates in winter term

  • lecture Wednesdays: from 08:00 to 10.00 o'clock in IC 04/410
  • tutorial Mondays: from 14:00 to 16.00 o'clock in IC 04/410

Exam

All statements pertaining to examination modalities (for the summer/winter term of 2020) are given with reservations. Changes due to new requirements from the university will be announced as soon as possible.

Termin wird vom Dozenten bekannt gegeben

Form of exam:written
Registration for exam:FlexNow
Duration:120min

goals

Students are able to derive mathematical models of dynamic systems and to simulate and analyze their behavior by using modern simulation tools. They can predict the behavior and know the fundamental physical properties of mechanical, thermal, electrodynamic, hydraulic and pneumatic systems, and understand analogies between these system classes. Students know how to develop, simulate and evaluate mathematical models of dynamic systems by applying systematic modelling rules. They learn how to design dynamic systems and their automatic control.

content

The lecture teaches basics of systems theory in the scope of technical dynamic systems. The contents cover basic modelling principles, state-space models and stability, fundamental physical behavior of various system classes, observer and controller design. The lecture also gives insight into modern simulation tools, specifically MATLAB/Simulink, and discusses the mathematical background of the underlying numerical solvers. Students learn how to analyze and divide complex systems into properly defined subsystems, and consolidate their knowledge of the basic physical properties of mechanical, thermal, electrodynamic, hydraulic and pneumatic systems. Analogies between these system classes are outlined and exploited to simplify modelling. Recent methods for observing unmeasured states and parameters (soft-sensors) and advanced controller tuning algorithms are discussed and applied, and all theoretical results are substantiated either by simulations of real world processes or by application in laboratory setups.

requirements

keine

recommended knowledge

Inhalte der Vorlesung Automatisierungstechnik