self-stabilising drone
A drone-control project exploring beamforming and PID-based wind correction, developed across my Higher Level coursework.
overview
This project connects control theory, signal processing, and physical testing, three things usually taught as separate units, into one system that has to react to changing conditions in real time.
focus
The drone drifts in wind. Stability only holds if the correction reacts faster than the disturbance does. I'm exploring beamforming alongside PID wind correction so the drone can sense conditions and adjust its flight behaviour with responses that are controlled and repeatable.
across three IAs
The project gives my Higher Level coursework a real connection to the same physical system, linking modelling, analysis, and evaluation to a build that can be tested in the real world.
why it matters to me
I like starting from theory and building something that makes the trade-offs visible. What teaches me something is the gap between the model and what the drone does in the air once the wind shows up.