Modul RO4400-KP08

Control Systems (RegelSys)

Duration:

1 Semester

Turnus of offer:

every summer semester

Credit points:

Course of studies, specific field and terms:

Master MES 2020 (optional subject), computer science / electrical engineering, Arbitrary semester
Bachelor Robotics and Autonomous Systems 2020 (compulsory), Robotics and Autonomous Systems, 6th semester
Bachelor Robotics and Autonomous Systems 2016 (compulsory), Robotics and Autonomous Systems, 6th semester

Classes and lectures:

Control Systems (lecture, 2 SWS)
Advanced Methods in Control (lecture, 2 SWS)
Advanced Methods in Control (exercise, 1 SWS)
Control Systems (exercise, 1 SWS)

Workload:

40 Hours exam preparation
90 Hours in-classroom work
110 Hours private studies

Contents of teaching:

Modeling of dynamic systems
Dynamic behavior of systems
Feedback concepts
Controller design in time domain
System representation in frequency domain
Stability
Controller design in frequency domain
State space models, canonical representations and properties
Design of state feedback controllers and state observers
Optimal control and state estimation
Linear parameter-varying systems
Model predictive control

Qualification-goals/Competencies:

Students can model physical systems mathematically as well as describe and analyze their dynamic behavior.
Students know the fundamental tools and can formulate requirements with respect to systems in the time and frequency domain. Students are able to design control loops using time and frequency domain-based tools.
Students are able to analyze stability of feedback systems and can evaluate the resulting dynamic properties with respect to control performance and robustness.
Students know how to describe and analyze state space models.
Students know how to synthesize and design state feedback controllers.
Students know how to design observers and observer-based controllers.
Students know the basics about optimal control and how to utilize it.
Students know the class of linear, parameter-varying systems and the basic principles of controller synthesis for this class of systems.
Students understand the concept of model-predictive control and know how to implement such a control strategy.

Grading through:

written exam

Responsible for this module:

Prof. Dr. Philipp Rostalski

Teachers:

Institute for Electrical Engineering in Medicine

Literature:

as described for the module parts:

Language:

German and English skills required

Notes:

This module replaces ME2450-KP08

Admission requirements for taking the module:
- None

Admission requirements for participation in module examination(s):
- None

Module Exam(s):
- RO4400-L1: Control Systems, written exam, 90min, 100% of module grade.

Letzte Änderung:

7.10.2021