In cooperation with INDUGA Industrieöfen and Giesserei-Anlagen GmbH & Co. KG, we are developing virtual sensors and modern control strategies for founding. Already since 2015, the researched algorithms are successfully used in international manufactories.

In cooperation with L.B. Bohle Maschinen und Verfahren GmbH, we are researching novel automation concepts for continuous tablet production to enable highly efficient production.

https://lbbohle.com/

In the AKOON research project, a Rhine ferry near Mainz is converted to a fully automated vessel, so that a safe and efficient crossing can be ensured even under harsh environmental conditions and high traffic density.

https://www.irt.rwth-aachen.de/go/id/cnzsr

From research to practice: The "Robogym" demonstrates the strength training of the future with robots. Previously, the "RosyLernt" research project investigated how robots can learn autonomously to provide safe neuromuscular training that is optimally adapted to the athlete. RWTH Aachen University with its Institute of Control Engineering was involved in the interdisciplinary research team. For more information, visit www.robogym.de and follow #robogym #becrobotics on social media.

https://www.irt.rwth-aachen.de/go/id/byawe

"The fact that we were able to carry out this measurement campaign so successfully and come a giant step closer to our goal of providing the basis for certification on system test stands is thanks to the close and constructive cooperation with Enercon, UL DEWI and the FGH certification body, as well as the tireless efforts of our project team" - Dr.-Ing. Uwe Jassmann, former employee of the Institute of Automatic Control and project leader of CertBench (Enercon: https://www.enercon.de)

https://www.irt.rwth-aachen.de/go/id/hfqoz

On the vehicle test bench at FEV: The developed model predictive air path control of the two-stage turbocharged gasoline engine with exhaust gas recirculation achieves an efficiency-optimized combustion. This solves the trade-off between good responsiveness and high maximum power while maintaining low fuel consumption and low pollutant emissions.

Since 2014, the Institute of Control Engineering has been conducting joint research with Wind to Energy GmbH (W2E) on novel model-based predictive control approaches for wind turbines of the future. The close cooperation over many years made it possible to experimentally test a model-based predictive control algorithm on a state of the art 3MW wind turbine of the company W2E for the first time in 2020. koRola: https://www.irt.rwth-aachen.de/go/id/heibm TurboWind: https://www.irt.rwth-aachen.de/go/id/qjagt