ASWING Extended User Manual
A comprehensive, screenshot-driven guide to the MIT ASWING aeroelastic solver — covering trim, time-domain simulation, and frequency-domain analysis. Now featured on the official ASWING website.
Flexible aircraft dynamics, aeroelastic solvers, morphing drones and supersonic testing..
A comprehensive, screenshot-driven guide to the MIT ASWING aeroelastic solver — covering trim, time-domain simulation, and frequency-domain analysis. Now featured on the official ASWING website.
A Python framework extending ASWING with arbitrary closed-loop control laws — Python, MATLAB, and Simulink backends — for flexible aircraft flight dynamics simulation. Published at AIAA 2025.
Extending ASWING with post-stall aerodynamic modeling for flexible aircraft — targeting autonomous HALE vehicles where structural flexibility alters stall onset, propagation, and recovery dynamics.
A Python tool for fully automated wind tunnel characterization of morphing VTOL drones — extracting aerodynamic model, center of gravity, and vibration data. Achieved a 10× reduction in test campaign time. Grade: 5.75/6.
Full design and construction of an open supersonic wind tunnel — from compressor architecture and SLA-printed convergent-divergent nozzle to Schlieren flow visualization. Built as a reusable student test bench at Hepia.