Our team's task was to design, simulate, and test a bottle rocket/glider that would be able to reach an apogee of 100m and be able to glide for as long as possible.

The first phase of this project involved collaborating to implement a variety of analytical and empirical models into MATLAB in order to simulate the lift, drag, weight, and thrust of the vehicle. Using these models, I developed a flight dynamics simulation to model the boost and glide performance of any given glider configuration.

The next phase involved utilizing the simulation to maximize performance and conduct trade studies to guide our final design. As we developed and refined our design, I helped to update our CAD model using OnShape. After finalizing our design we manufactured the glider and tested it's performance.

The final phase involved analyzing test data collected during test flights and comparing our expected vs actual performance.

This project strengthened my MATLAB scripting skills, CAD skills, and analytical problem solving and relied heavily on successful communication, documentation, and teamwork.

My task was to analyze spacecraft position data in order to simulate their trajectories and calculate the probability of a collision.

This project involved using least squares linear fitting on position measurements to extrapolate the expected path of the 2 separate spacecraft. In order to calculate the probability of a collision between the 2 vehicles, error propagation calculations were used with a Monte-Carlo simulation. This resulted in a calculated probability of collision.

This project introduced me to the concepts of error propagation and Monte-Carlo simulations and allowed me to strengthen my MATLAB simulation and analytical problem solving skills.