Thesis in Spacecraft System Engineering: Robustness Analysis
View: 173
Update day: 22-10-2024
Location: Friedrichshafen Baden-Württemberg
Category: High Technology Mechanical / Technical Electrical / Electronics IT - Software Internship / Entry level
Industry: Aviation Aerospace Component Manufacturing
Position: Internship
Job type: Full-time
Job content
Job DescriptionAre you looking for a final year project? Would you like to discover the work of an engineer? Then apply now! We look forward to you joining us. The AOCS, GNC & FD department is in charge of attitude and orbit control systems (AOCS), Guidance/Navigation/Control (GNC), flight dynamics (FD), and control engineering for all kinds of spacecraft. This includes aspects such as modelling, design, synthesis, and verification & validation of the AOCS/GNC system.
Location: Friedrichshafen / Immenstaad
Start: September 2022
Thesis Title
Derivation of Linear Fractional Transformation (LFT)-Based Model with Probabilistic Uncertainties for the Use in Worst Case and Robustness Analysis of the LISA Mission
Thesis Topic
LISA is the first space mission to establish the new field of gravitational wave astronomy, observing highly energetic events within the entire event horizon of the universe. As the instrument is distributed over a constellation of three spacecraft with ultra-high relative measurement precision needs, LISA is among the most ambitious missions ever flown. One of the main challenges for gravitational wave detection is to shield the test masses from external disturbances and to minimize any non-gravitational impact.
Based on the heritage of the precursor mission LISA Pathfinder (LPF) and the equations of motion for a LISA spacecraft, the main objective of the thesis is to derive a model of the multi-body system dynamics based on Linear Fractional Transformation (LFT) using probabilistic uncertainty methods. The model serves as baseline for robustness, sensitivity and worst-case analysis with respect to uncertain parameters affecting stability and performance of the system.
You Will Learn About
The LISA mission, S/C systems engineering, multi-body dynamics and modelling, probabilistic uncertainty modelling, being part of project team in a challenging space mission
Your Tasks
- Understanding of the LISA spacecraft dynamics as multi-body system using nonlinear and linear equations of motion
- Familiarization with the description and formulation of LFT models and probabilistic uncertainties
- Derivation and implementation of an LFT model for LISA
- Application of the LFT model for robustness and sensitivity analysis of LISA in science operation
- Documentation of results and tools (in English)
- Master student (m/f/d) enrolled in Aerospace Engineering, Cybernetics, or similar field of study
- Very good knowledge of MATLAB / Simulink
- Very good knowledge of dynamics and robust control
- Languages: fluent in English (German is an asset)
How To Apply
Online via www.airbus.com
Please provide the following documents (combined in 1 PDF file): cover letter, C.V., relevant certificates, current certificate of enrollment
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
Contract Type
Final-year Thesis / Stage fin d’étude / Abschlussarbeit / Proyecto fin de carrera
Experience Level
Student / Etudiant / Student / Estudiante
Job Family
Vehicle Mission & Control
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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.
Deadline: 06-12-2024
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