Ofertes treballs fi d'estudishttps://eseiaat.upc.edu/ca/curs-actual/treballs-fi-estudis/ofertes-treballs-fi-destudishttps://eseiaat.upc.edu/++resource++plone-logo.svg
2010 - GRAU EN ENGINYERIA EN TECNOLOGIES AEROESPACIALS
2010 - GRAU EN ENGINYERIA EN VEHICLES AEROESPACIALS
2014 - MÀSTER UNIVERSITARI EN ENGINYERIA AERONÀUTICA
2016 - MÀSTER UNIVERSITARI EN ENGINYERIA ESPACIAL I AERONÀUTICA
Identificador de l'oferta:
205-06736
Modalitat:
Universitat
Possibilitat de beca/finançament:
No
Idioma d'elaboració del treball:
Anglès
Paraules clau:
DRONS-UAVPROGRAMACIÓ
Descripció:
This project aims to develop an algorithmic framework for the preliminary design of electric propulsion unmanned aerial vehicles (UAVs), with particular focus on multirotor drones. The algorithm will integrate theoretical models of aerodynamics, propulsion, energy storage, and mass estimation with commercially available (off-the-shelf) components to generate feasible drone configurations. Given a set of mission requirements—such as payload mass, flight time, and operational constraints—the algorithm will compute candidate designs and evaluate their performance. The resulting designs will be benchmarked against existing commercial drones and/or reference configurations to assess accuracy, robustness, and design trade-offs. The project emphasizes a systems-engineering approach, combining analytical modeling, numerical implementation, and validation through comparison with real-world data.
Objectius:
-Develop a modular and extensible algorithm for the preliminary design of electric propulsion drones. -Validate the algorithm using known UAV configurations and performance data. -Benchmark the algorithm against existing design approaches or commercial drones. -Analyze design trade-offs between payload, endurance, efficiency, and system mass.
Tasques a realitzar / Característiques:
Literature Review and Requirements Definition Review existing UAV design methodologies and sizing algorithms Analyze common electric propulsion architectures for drones Define mission requirements, design constraints, and performance metrics. System Architecture and Modeling. Define the drone system architecture (airframe, propulsion, power, payload). Develop analytical models for: Thrust and power requirements, Electric motor and propeller performance, Battery sizing and energy consumption. Algorithm Development. Validation and Benchmarking. Validate results using known drone configurations or manufacturer data. Benchmark algorithm outputs against commercial drones or simplified sizing methods. Results Analysis and Discussion.
Tema:
ENGINYERIA AERONÀUTICA
Tipus:
Estudi
Càrrega de treball:
La càrrega de treball s'adaptarà als crèdits de la titulació.
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