Recommendations
|
|
Teaching Content
|
This course aims at engineering students that focus on control engineering curriculum. It encompasses
practical topics of the control engineering aspects, which can help them to be.
Two major parts are covered:
• Practical examples from the control engineering problems and modelling tool using theoretical concepts
form the IRS lectures (RLM, ODS). These will include
- Human-machine interaction systems (robotic applications with impedance control)
- Autonomous cooperative vehicles
• Sufficient Software Tools for control engineering. These covers the fundamentals of
- Clean Code
- Version Control System (git)
- Robot Operation System (ROS)
Practical Homework Assignment to apply the lecture contents.
|
Course Material |
Lecture Slides in ILIAS |
Workload
|
- Attendance time in lecture/exercise: 30h
- Preparation and revision of course content: 37.5h
- Preparation of the homework assignment: 22.5h
- Preparation and attendance of the oral exam: 30 h
|
Goals
|
1. The students will be able to analyze, structure and formally describe problems in the field of
practical control engineering.
2. The students are able to use the necessary tools for software projects with control engineering focus.
3. The students can apply the methods
• Modular software development for control engineering problems
• Model Predictive Controller for practical engineering problems
• Inevitable software engineering tools to able to develop control system
|
Exam |
Oral examination of approximately 25 minutes. The presentation of the homework is part of the exam. Grades will be announced immediately after the exam.
Beforehand:
- Online registration via CAS is mandatory.
- Homework must be submitted via GitHub 2 weeks before the exam.
|