Dassault UAV Challenge: Design of a vertical take-off autonomous flying wing (VTOL)
Project Steps:
Function Definition: We defined the functions our VTOL drone needed to perform, focusing on precision and reliability.
Sizing and 3D Design: We sized and crafted the drone's 3D design using SolidWorks, ensuring it met our functional requirements.
Geometry Optimization: Utilizing Fluent, a fluid mechanics simulation software, we optimized the drone's geometry to ensure its aerodynamic performance.
Flight Controller Programming: We programmed the flight controller to ensure seamless and precise autonomous flight, adhering to safety protocols.
Personal Contributions:
Machine Learning for Cargo Drop: My personal involvement included applying reinforcement and supervised learning methods to achieve accurate cargo drops, although we encountered challenges in this aspect.
Algorithm Implementation: I implemented these algorithms using Python and Matlab, enabling training and utilization of the machine learning models for cargo drop accuracy improvement.
Flight Data Analysis: I conducted post-flight data analysis, identifying areas for improvement in drone performance.
Requirements Validation and Optimization: Ensuring our drone met the challenge's requirements, I played a role in validation and optimization efforts.
Photogrammetric Terrain Mapping: I also contributed to the creation of a photogrammetric process to map the flight terrain, enhancing our drone's spatial awareness.
In 2022, the ESTACA Robotics Association Siera achieved first place in the Dassault UAV Challenge, a competition organized by Dassault.
Skills used and learnt
Systems Engineering
Computational Fluid Dynamics
Flight Control Programming
Machine Learning
Algorithm Development
Data Analysis
Requirements Management
Photogrammetry
