Control Engineering in Engineering Informatics

„Only with precise models can we operate dynamic systems optimally and efficiently.“ Prof. Dr.-Ing. Christoph Ament

Your partner in control of innovative processes and technologies

Our competencies:

 

  • Model-based control of complex systems
  • Development of data-driven control concepts
  • Resilient control in distributed sensor-actuator networks

Our team:

 

Our strength is an interdisciplinary team that combines knowledge from engineering, machine learning, physics, electrical engineering and computer science to push the boundaries of what is possible with intelligent solutions.

 

A ball levitating in an acoustic trap.
A water droplet being moved around on an electrostatic microactuator.
Non-linear modeling and control of the distribution unit of a multi-head weigher..

Our offerings for you

 
  • Consulting and research cooperation on complex control problems
  • Analysis and modeling of technical systems
  • Model- and data-based automation of industrial plants
  • Advice on the introduction of new technologies such as self-learning controllers and predictive maintenance
  • High-precision and dynamic calibration of parallel/serial kinematics

Projects

 
  • FORinFPRO — Learning manufacturing processes and cross-process optimization.
  • Spatial actuators on the basis of interacting electrostatic effects.
  • ADOPT — Control of adaptive terahertz optics.
  • Kiko.BD —  Development of AI-supported measurement methods and a digital twin for predictive maintenance of networked multihead weighers.
  • CATCH —  Control of acoustic traps for contactless handling of objects.
  • Safety sytstems for cable robots.
 

Contact

Lehrstuhlinhaber
Lehrstuhl für Regelungstechnik
Email:

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