Each module contains 3 ECTS. You choose a total of 10 modules/30 ECTS in the following module categories:
- 12-15 ECTS in technical scientific modules (TSM)
TSM modules teach profile-specific specialist skills and supplement the decentralised specialisation modules.
- 9-12 ECTS in fundamental theoretical principles modules (FTP)
FTP modules deal with theoretical fundamentals such as higher mathematics, physics, information theory, chemistry, etc. They will teach more detailed, abstract scientific knowledge and help you to bridge the gap between abstraction and application that is so important for innovation.
- 6-9 ECTS in context modules (CM)
CM modules will impart additional skills in areas such as technology management, business administration, communication, project management, patent law, contract law, etc.
In the module description (download pdf) you find the entire language information per module divided into the following categories:
Model-based controller design is a key technology to control systems with complex dynamics. It was the enabling technology for many innovations in the last decade. In this module, the key elements of the development process are addressed: system identification, LQR/LQG-Controller design and controller implementation. Since there is always model uncertainty, the course ends with an introduction to robust controller design using H-Infinity.
- Differential equations, Transfer functions
- PID-controller design and implementation incl. anti-windup strategies
- control system structures: feed-forward, cascaded control
- Analysis of feedback control systems (stability, phase/gain margin, performance in time and frequency domain)
- State space models
- Loop shaping controller design
- Linear algebra (Eigenvalue Decomposition)
- It is necessary, that the student has successfully completed 2 semester courses in feedback control
The student is able to
- completely design a model-based, robust feedback control law, including modelling, parameter estimation, system analysis, controller design and controller implementation
- design a robust H-Infinity optimal controller.
Contents of Module
- LQR/LQG-Controller design (5W)
- State space models and their properties, linearization, singular values, realisation theory, basic state feedback control
- Observer design
- LQR/LQG controller design with Loop Transfer Recovery (incl. integral controller action), SISO and MIMO-Systems
- Introduction to system identification (4W)
- Models, design of experiments, signal conditioning
- Least Square, recursive methods
- Important aspects of controller implementation (2W)
- Controller discretization, sampling time
- Quantisation effects
- Robust Control (3W)
- H-Infinity controller design
Teaching and Learning Methods
Lectures, exercises, case studies
A self-evaluation exam is provided to check the skills necessary to follow the course