Institute of Flight Guidance
Area of research:
Scientific / postdoctoral posts
Contribute to the design of the future of Unmanned Aviation! The DLR Institute for Flight Guidance has been researching concepts and technologies that enable the integration of UAS into controlled and uncontrolled airspace for several years. This research is bundled in the institute’s research group on "Unmanned Aircraft Systems (UAS)". One of the key research aspects currently lies in technologies and concepts designed to ensure the safe integration of UAS, drones and air taxis into low-level and urban airspace. Therefore, research activities focus on a concept for airspace and air traffic management in a future European U-Space.
In various national and European projects (e.g. SESAR CORUS, SESAR AIRPASS or DLR City-ATM), DLR researches on airspace management and traffic control concepts for the integration of new airspace users, such as drones or air taxis. Based on these concepts, a modeling, simulation and demonstration platform for urban ATM is currently being developed and validated at the Institute of Flight Guidance. The future system will provide an open and flexible platform for simulation and real flight testing in a future U-space environment. In particular, external systems (e.g. drones, components or U-space services) should be integrated into this U-space demonstration environment easily and validated comprehensively. The overall aim of these projects is to bring together relevant stakeholders (e.g. UAS manufacturers, drone pilots, UTM system providers, aviation authorities and operators) and perspectives to develop a safe, efficient and sustainable solution for the future U-Space.
In the context of DLR’s project City-ATM the described concept is to be further developed. In particular, it will be necessary to model the properties of individual UAS (including Detect & Avoid capabilities, speed, flight performance, mission requirements, noise, etc.) and their impact on the necessary separations, flight routings and requirements in an urban airspace. Based on this modeling, strategic conflict detection and resolution can then evaluate the various flight conditions (e.g., available airspace segments, restrictions on airspace access, noise barriers) and propose optimized trajectories, taking into account possible airspace densities. For this challenging activity, our interdisciplinary team seeks reinforcement in the field of concept development, software development, drone performance modelling and validation. The research in this field is being carried out within national and international projects together with the aviation industry and other research institutions; In addition, subproject and/or project management tasks could be part of this work.