Institute of Control Systems (IRS)
TG

M. Sc. Thomas Gellrich

  • Karlsruher Institut für Technologie (KIT) Campus Süd
    Institut für Regelungs- und Steuerungssysteme
    Geb. 11.20 (Engler-Villa)
    Kaiserstr. 12
    D-76131 Karlsruhe

Curriculum Vitae

Studied electrical engineering and information technology at the Karlsruhe Institute of Technology (KIT) with a focus on control engineering and at the Universitat Politècnica de València in Valencia, Spain; Work experience at Alfred Kärcher GmbH & Co. KG in the field of robotics and at Dieffenbacher GmbH in the electrical design devision; 2015 master thesis entitled "Development of a nonlinear hybrid observer for reliable estimation of the rotor resistance of an asynchronous traction machine" at the Institute for Control Systems (IRS).

Since March 2016 research scientist at the FZI Research Center for Information Technology at the Karlsruhe Institute of Technology in the research division Embedded Systems and Sensors Engineering (ESS).
Since March 2020 research scientist at the Institute for Control Systems (IRS).

 

Research

Modeling and control of multi-phase systems

Loop heat pipes are used in space applications and computer systems for energy-efficient thermal control. A heat pipe has the advantage that it enables the transport of large quantities of heat with a small cross-section, so that a high heat flow density is achieved. Especially with loop heat pipes, the heat transport is not stimulated by a pump but by capillary forces in a wick structure. In addition, the spatial separation of evaporation and condensation allows heat to be transported over longer distances to the sink. In this way, for example, satellite components are cooled in space.

In multiphase systems, such as the loop heat pipe, transient operating states occur due to thermodynamics, which increase the complexity of modeling and subsequent control. Therefore, the question arises as to how high the level of detail of a model for the design of a control system must be and how a combination of the controls of different operating states can be achieved.

The aim of this research is to find a control modeling mechanism for multiphase systems and to develop a suitable model-based control strategy. A major challenge is the dynamic description of thermodynamic processes.

Teaching

Publications


2019
2018