Regelungstechnik 1
Bachelor Mechanical Engineering
The course Control Engineering 1 deals with the fundamentals of control engineering with the following main topics:
- Dynamic systems in the time and image domain
- Description of control loops, transfer elements and block diagrams
- Control loop analysis in the time and frequency domain
- Controller design, control loop stability and frequency characteristic methods
- Cascade control
- Computer exercise Computer Aided Control Engineering (CACE)
- Laboratory exercises
Further information for students
Virtual Automation
Bachelor Mechanical Engineering
The "Virtual Automation" course is part of the Smart Automation specialisation. It deals with the digitalisation and simulation of machines and systems in the context of Industry 4.0:
- X-in-the-loop simulation methods
- Real-time simulation
- Real data and control coupling, time synchronisation
- Modelling methods
- Numerical aspects under real-time and real-time models
- Digital twin as a service and mixed-reality-in-the-loop simulation
- Laboratory exercises
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Softwaretechnologien in der Automation
Bachelor Mechanical Engineering
The course "Softwaretechnologien in der Automation" is part of the Smart Automation specialisation. It deals with modern information technologies in the context of Industry 4.0:
- Principles of software technology
- Fundamentals of computer networks
- Platform-independent communication systems (e.g. OPC UA)
- Server-client architecture of web applications
- Browser applications (front end), web servers and microservices (back end)
- Communication concepts of web and cloud technologies
- Basics of database systems
- Laboratory exercises
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Regelsysteme im Zustandsraum
Master Resource Efficiency in Mechanical Engineering
The course "Regelsysteme im Zustandsraum" builds on the fundamentals of control engineering and deals with the control of multi-variable systems:
- Description of dynamic systems in state space
- State feedback and reference variable feedforward control
- Design methods for state controllers such as pole presetting and optimal control (LQ controller)
- State control with integral controller
- State observer
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Roboter-Digitalisierung und Simulation
Master's degree in resource efficiency in mechanical engineering
In this course, modern methods of autonomous robotics in a smart factory are considered using examples from autonomous indoor flying robotics. The following topics are dealt with in the context of autonomous robotics:
- Kinematic modelling
- Trajectory planning, control and regulation
- Localisation and navigation methods
- Software and IT frameworks
In the accompanying laboratory exercise, students apply the methods to practical examples of real indoor flying robotics applications.
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