Inhalt

[ 281SYRTRETP20 ] PR Automatic Control

Versionsauswahl
Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Artificial Intelligence 2024W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B3 - Bachelor's programme 3. year Mechatronics Kurt Schlacher 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Mechatronics 2020W
Objectives Mastery of a computer algebra system for modeling of dynamic systems, for designing dynamic systems and their analysis

Learning methods for the efficient derivation of simulation models for numerical simulation also with the help of automatic code generation

Efficient implementation and testing of controllers in a simulation environment and in the laboratory

Subject
  • Mathematical modeling using a computer algebra system and implementation of the models in a simulation tool
  • Parameter identification for 1st and 2nd order delay elements
  • State controller and state observer design for linear time invariant systems
  • Stability analysis in the state and frequency domain
  • Transfer functions, controller design in the frequency domain
  • Implementation of the models with control in a numerical simulation environment and testing of the controllers for the continuous and discrete-time case
  • Testing the discrete-time regulations using laboratory models
Criteria for evaluation Preparation and participation
Methods Simulation studies and laboratory experiments
Language German
Study material JKU KUSSS and/or Moodle
Changing subject? No
Further information Until term 2020S known as: MEBPEPRPAUT PR Practical Training in Automatic Control
Earlier variants They also cover the requirements of the curriculum (from - to)
MEBPEPRPAUT: PR Practical Training in Automatic Control (2007W-2020S)
On-site course
Maximum number of participants 16
Assignment procedure Assignment according to sequence