Development of a Lightweight Fixed-Wing Drone for Early Situational Awareness in Critical Applications
Publicerad
Författare
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
This thesis explores the development of a lightweight, sub-250 g fixed-wing drone intended
for early situational awareness in emergency response scenarios. Conducted
in collaboration with Remote.aero and the Swedish Sea Rescue Society, the work
focuses on concept development, aerodynamic optimization, prototyping and validation
through flight testing. An extensive benchmarking study identified key design
parameters and trade-offs for tailless UAVs. Utilizing XFLR5 aerodynamic simulations,
the study optimized critical design variables, notably aspect ratio, taper ratio
and wing span, to maximize the L/D ratio within the intended flight envelope. Two
prototypes were constructed using 3D printing, confirming theoretical predictions
and demonstrating competitive performance during flight tests. The final prototype
achieved a stall speed below 8 m/s, a maximum estimated endurance of approximately
43 minutes at loiter speed of 10 m/s, and a maximum estimated range of
55 km at a cruise speed of 25 m/s. The maximum L/D ratio was 16, at a loiter
speed of 11 m/s. Its low intrinsic ground risk classification (iGRC 1) under current
regulations simplifies deployment in both urban and rural settings, allowing it to
compete with heavier systems while offering critical regulatory advantages. However,
flight testing revealed that the reduced mass of the drone makes it sensitive to
wind gusts, limiting reliable flight at wind speeds exceeding approximately 10 m/s
unless additional airspeed margins are maintained. Ultimately, the design met all
other requirements and could carry out a typical mission profile with ease, fulfilling
the purpose of the project
Beskrivning
Ämne/nyckelord
Fixed-wing Drone, Sub-250g, Blended Wing Body, Tailless, Early Situational Awareness, Aerodynamic Optimization, XFLR5, Flight Testing