Master Thesis about Optimal Trajectory… at Airbus · Manching

Master Thesis about Optimal Trajectory Generation for Multiple Aircraft in Formation Flight (d/f/m) Location: Manching Job Description: In order to support Air Power Engineering, Airbus Defence and Space is looking for a Master Thesis about Optimal Trajectory Generation for Multiple Aircraft in Formation Flight (d/f/m) You are looking for a master thesis and want to get to know the work inside our flight dynamics team? Then apply now! Location: Manching Start: as soon as possible Duration: 6 monts Your location Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach. Your benefits Attractive salary and work-life balance with an 35-hour week (flexitime). Mobile working after agreement with the department. Traveling overseas or within Germany (team events) is possible after consultation and agreement from the department. International environment with the opportunity to network globally. Work with modern/diversified technologies. At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings. Opportunity to participate in the Generation Airbus Community to expand your own network. Your tasks and responsibilities Your main tasks and responsibilities will include: 1. Literature review on large-scale optimization and bi-level/distributed optimal control 2. Analysis of available algorithms to assign positions in formation and structures to set up the problem 3. Problem setup a. Aircraft models of different fidelities (point mass and rigid-body; planar/3D motion) b. Constraint specification c. Cost function for trajectory optimization and formation flight problem 4. Implementation of algorithm functionalities including consideration of code generation capability 5. Testing of different scenarios comprising e.g. a. Two and more aircraft in planar scenario b. Two and more aircraft in 3D motion c. Connection of trajectories between multiple waypoints d. Uncertainties (like sensor noise) influencing the trajectories 6. Visualization in available environment 7. Documentation and presentation of results Desired skills and qualifications Enrolled full time student (d/f/m) in aerospace engineering, control system engineeringor similar field of study Theoretical knowledge on flight dynamics and control laws design MATLAB/Simulink: Experienced FORTRAN or C/C++: Basic knowledge LINUX: Basic knowledge English fluent Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate. Not a 100% match? No worries! Airbus supports your personal growth. Take your career to a new level and apply online now! This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth. Company: Airbus Defence and Space GmbH Employment Type: Final-year Thesis ------- Experience Level: Student Job Family: Support to Management By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com. At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.