Control of a solid fuel rocket using Artificial Intelligence

This work is about the application of a trajectory control system for a solid-fueled sounding rocket using Neural Networks. The first part consisted of searching for a mathematical model that described the rocket’s behavior in space as accurately as possible. After this, the LQR (Linear Quadratic Regulator) methodology was used to find the control gains ’k’ for subsequent use. Trajectories are proposed for servo motor tracking, to be able to follow a proposed path in the x-z plane.