Instrumentation and Model-based Control

Topic

Functional diagram of a model based controller for fuel cell systems.
HMI of an automated Fischer-Tropsch lab plant.

The working group Process Systems Engineering develops and applies complex controller architectures for energy and environmental process technologies (e.g. fuel cell systems, GtL and PtL processes) as well as for the associated system components. For specific applications model-based control strategies are applied.

 

Services offered

 

  • Model-based and adaptive controller for energy and environmental process technology
  • Process visualization, data logging and analysis for complex systems
  • Setting-up of complete system controls
  • Real-time process simulations with MATLAB/Simulink
  • Development of hardware- and software-in-the-loop systems
  • Adaptive controller algorithms for operation of degradation afflicted process components
  • Real-time capable implementation of controller algorithms in Structured Text, IL, LD, FBD, C/C++, MATLAB/Simulink and JAVA

 

Technical equipment

 

  • In-house development of measurement, control and electronic systems
  • Software tools:
    • MathWorks Software (MATLAB, Simulink, Realtime-Workshop, etc.)
    • Bachmann Solution Center, M-PLC (IEC1131-3), M-Target (Simulink)
    • National Instruments Software (Labview, Diadem, etc.)
    • Siemens Software (Step7, WinCC)
    • Microsoft Visual Studio
    • Proprietary developed software framework for the control of test facilities and prototype systems
  • Hardware:
    • Programmable Logic Controllers like S7-300 (Siemens), Compact Fieldpoint (National Instruments) and MX213/MPC240 (Bachmann)

 

Examples and references