Development of Condition-Aware Operational Strategies for Unmanned Aerial Vehicles Based on Component Health
Masterthesis, Advanced Design Project (ADP)
The increasing prevalence of autonomous systems in aviation underscores the need for robust safety and reliability measures. A key element in achieving this is the ongoing assessment of the health condition of critical components in unmanned aircraft systems (UAS). For the institute’s proprietary hybrid aircraft SciHunter, a Python-based simulation environment is available, modeling both the aircraft's operational characteristics and the impact of various degradation phenomena on system dependability.
This thesis focuses on exploring how adaptive operational strategies—tailored to the health status of onboard components—can enhance mission success rates. Strategies might include dynamically adjusting flight parameters (e.g., flight mode or cruise speed) in response to wear-related performance limitations.
Work Content:
- Research into factors influencing the reliability of unmanned aviation missions
- Formulation of alternative operational strategies responsive to component condition
- Simulative investigation of mission behavior with different operator specifications
- Evaluation of the influence of strategy on mission success
- Discussion, documentation and presentation of the results
Organizational:
Available immediately
