Industrial Control (ILV)
BackCourse lecturer:
Dipl.-Ing. Dr.
Stefan DoczyDI
Simon Grünberger , MScSpecialization Area | Robotic Systems |
Course number | M2.05281.30.021 |
Course code | IControl |
Curriculum | 2023 |
Semester of degree program | Semester 3 |
Mode of delivery | Presence- and Telecourse |
Units per week | 3,0 |
ECTS credits | 5,0 |
Language of instruction | English |
Students understand the state-of-the-art methods of applied control technology in the context of industrial applications mainly in robotics.
Students are able to understand process control topics.
Students are familiar with the fundamentals in analytical and experimental system identification of industrial processes.
Students are able to apply software tools for the identification and analysis of control systems (MATLAB).
Students are familiar with the main concept of rapid control prototyping (RCP) in order to automate and to expedite the development process of control strategies.
They are familiar with the implementation of digital controllers and are able to understand and overcome problems related to computer based implementation.
Students are able to prove systematically the functional behavior of a control algorithm through test automation.
Students understand the main architectural principles and concepts of embedded control systems.
The module covers a selection of the following topics/content:
- Implementation of digital controllers
- Control aspects of embedded systems
- Characteristics of embedded control systems
- Parameter estimation for dynamic systems
- Method of least squares
- Frequency domain methods (fft)
- Process models and control
- RCP development systematics, software or hardware-in-the-loop
- Automated code generation
- Low-cost embedded microcontroller as rapid control prototyping platform
The following literature is recommended as an example:
- C.-T. Chen, Linear System Theory and Design, Oxford University Press, 2009
- R. Dorf, R. Bishop, Modern Control Systems, 13th ed., Pearson Prentice Hall, 2017
- G. Franklin, J. Powell, A. Emami-Naeini, Feedback Control of Dynamic Systems, 8th ed., Pearson Education, 2020
- G. Franklin, J. Powell, M. Workman, Digital Control of Dynamic Systems, 3rd ed., Addison Wesley, 1998
- L. Ljung, System Identification, Prentice Hall, 1998
- A. Forai, Embedded Control System Design: A Model Based Approach, Springer, 2013
- Z.-X. Cai, Intelligent Control: Principles, Techniques, & Applications, World Scientific Publishing, 1998
- G. Zobrist, Intelligent Systems and Robotics, Tylor & Francis, 2000
Lecture with integrated calculation exercises, exercises in class and independent exercises with MATLAB/Simulink, LAB exercises
Integrated module examination
Immanent examination character: Active participation in class, homework, protocols for MATLAB/Simulink exercises and LAB-exercises, written or oral examination.