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Master's Thesis: Integrating Trajectory Optimization into Tilt-Wing Guidance & Control
Job Description
Req ID:  3309
Place of work:  Oberpfaffenhofen
Starting date:  immediately
Career level:  Student research project and final thesis
Type of employment:  Part time
Duration of contract:  by arrangement, 6 - 9 months

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

Welcome to the Institute of Flight Systems. Our work focuses on the interaction between aircraft configuration, pilots and modern flight system technology. From flight dynamics to unmanned aerial vehicles, from simulation to real flight tests - we analyse, test and develop innovations that will shape the flying of the future. The Flight Control and Simulation department combines skills in system dynamics and control engineering to develop advanced flight control methods and realistic flight simulators.

 

What to expect

At the Institute of Flight Systems, we develop new flight control methods for unconventional aircraft configurations. A focus area of our research is transformational aircraft, which are characterized by a large flight envelope, a high degree of overactuation, and a complex transition maneuver between hover and cruise flight states. Until now, our work is primarily simulation-based and covers modeling, flight physics analyses, and flight control of a tilt-wing aircraft, with a special focus on the challenging transition phase. Offline trajectory optimization based on optimal control has been used extensively to find optimal transition strategies, to estimate the transition corridor (flight envelope during transition phase), and to analyze failure impact. In line with the upcoming experimental research phase, the goal of this thesis is to extend the existing work by bringing the disciplines of flight control and trajectory optimization closer together, exploiting either data from offline optimization or implementing an online algorithm. This harmonization will allow for optimal maneuvers that exploit full plant capabilities while respecting aircraft limitations.

Your task is to build on a history of flight dynamics and control research for tilt-wing aircraft and extend the current control concept by incorporating data and/or algorithms based on optimal control. After the simulation-based development phase, the concept is transferred and implemented on a new subscale demonstrator configuration. This includes thorough testing (i.e., for runtime insurance) and clearance. Then, the preparations for the flight tests, where both the on-hardware implementation and in-the-loop tests take place. If time allows, you will also support us with upcoming flight test campaigns and help us with any work that arises there.

 

Your tasks

  • Literature research (tilt-wing flight dynamics & control, optimal control, model predictive control)
  • Deriving concepts & requirements for harmonizing trajectory optimization and flight control
  • Transfer the current modeling approach to the target platform
  • Implement and test the concept in simulation
  • Analyze the performance of the extended flight controller
  • Implement and test the concept on flight hardware (HiL)
  • Flight test the algorithm

 

Your profile

  • Above average enrolled master student in aerospace engineering or similar
  • Good knowledge in Matlab/Simulink
  • Good knowledge in flight mechanics and dynamics and flight control
  • Preferably initial experience with optimal control / model predictive control
  • Preferably initial experience with flight control
  • Independent, autonomous work approach
  • Interest to work scientifically

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

 

 

 

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 3309) please contact:

Marc May

Tel.: +49 8153 28 3976