Model-Predictive Control of Energy Systems
The control of energy systems makes high demands on the chosen control technique due to the highly nonlinear system behavior and the necessity for consideration of inherent dead times as well as constraints of the actuating and output variables. Conventional control concepts cannot meet the strict requirements regarding the control performance, which are necessary to guarantee strict regulations, for example for emissions.
Information on RWTHmoodle Course Rooms
Registration for the RWTHmoodle course rooms is usually performed by the students themselves, starting from the lecture site in the RWTHonline system. If you have trouble registering or you need a late registration, please contact your respective advisor.
Model-predictive control techniques offer the possibility to account systematically for the demands and to ensure a high control performance for the entire operating range. The students get to know the limits of conventional control concepts as well as the areas of application for model-predictive control.
During the lectures and exercises the following topics will be treated:
- Introduction to model-based control of energy systems
- Overview of model-based control concepts
- Control-oriented modeling
- Introduction to optimization
- Fundamentals of linear model-predictive control
- Fundamentals of nonlinear model-predictive control
- Modeling and model-based control of combustion engines
- Modeling and model-based control of wind energy plants
Lecture and Exercise
The course is given as L2/E2 during the summer term. The lecture takes place on Monday 1:30 to 3:00pm in the Seminarroom of the IRT, Campus-Boulevard 30, room 054, 1st floor whereas the exercise is on Monday from 3:30 to 5:00pm in the PC-Pool of the IRT room 032 on the ground floor.
For information on lectures and exercises check with RWTHonline .
Course materials for the lectures and the exercises can be downloaded from the RWTHmoodle platform.
- Automatic Control
- Advanced Control Theory or Rapid Control Prototyping
Information about the exam
Type: written or oral examination
Further information about the exam will be anounced in the lecture.
Consultation hours are offered on appointment by Martin Keller.