Erik Hildebrandt studied mechanical engineering at the University of Rostock from 2013 to 2019, specializing in drive technology and mechatronics. In his bachelor's thesis, he dealt with iterative disturbance estimation for the control of thermal processes with cyclically repeated reference signals.
In the winter semester 2016/2017, Mr. Hildebrandt was involved in the development of a particle filter model for simulating the exhaust gas aftertreatment of petrol engines as part of an industrial internship at IAV GmbH. He completed his studies in 2019 with a master's thesis on “State space transformations for an efficient robustness and stability analysis of fractional differential equations with applications to battery systems”.
Erik Hildebrandt has been working as a research assistant at the Chair of Technial Dynamics since the end of 2019. His current research focus is on cable-driven parallel robots with kinematically indeterminate load guidance. The aim is to combine the ability of cranes to support heavy payloads in large workspaces with the mobility of robot manipulators. Areas of application include the loading of goods and the precise handling of components in aircraft and shipbuilding.
Publications
- Hildebrandt, E.; Handreg, T.; Froitzheim, P.; Flügge, W.; Woernle, C.: Real-Time Capable Feedforward Control for a Multi-Cable Crane. In: Siebte IFToMM D-A-CH Konferenz, Online Konferenz, 2021.
- Hildebrandt, E.; Handreg, T.; Froitzheim, P.; Flügge, W.; Woernle, C.: Validation of Flatness-Based Feedforward Control for a Four-Chain Crane Manipulator. In: D. Pisla, B. Corves (eds.), EuCoMeS 2020, Springer, Cham 2020.
- Froitzheim, P.; Handreg, T.; Scharr, C.; Hildebrandt, E.; Dryba, S.; Geist, M.; Woernle, C.; Flügge, W.: Automatisierung eines Umformprozesses von Grobblechen im Schiffbau aufbauend auf bestehender Pressen- und Handhabungstechnik. In: Europäische Forschungsgesellschaft für Blechverarbeitung e.V. (EFB), 2020.
- Hildebrandt, E.; Kersten, J.; Rauh, A.; Aschemann, H.: Robust Interval Observer Design for Fractional-Order Models with Applications to State Estimation of Batteries. In: Proc. of the 21st IFAC World Congress, Berlin, Germany, 2020.