Date of Award
3-2023
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Aeronautics and Astronautics
First Advisor
Michael D. Zollars, PhD
Abstract
The work herein investigates the preliminary designs of an optimal navigation controller for a scalable cylindrical airdrop system controlled with grid fins in planar motion. Precision airdrop capabilities are desired for a range of military and humanitarian missions. Fielded airdrop systems have not met desired performance objectives, particularly regarding accuracy. Direct collocation and analytical methods were utilized to solve the optimal control problem for the grid fin controlled precision airdrop system examined in this work. The optimal control problem was comprised of two phases: controlled descent and parachute descent. Minimum and maximum ranges for the system under varying wind fields were calculated to bound the error allowed on the computed air release point. A control law algorithm and mission flowchart were designed. Finally, the complete proposed methodology was tested for robustness against perturbations in initial conditions. Results indicate promising accuracy and computational speed for analytical methods. These trajectories can be used as a baseline for future precision airdrop systems to improve accuracy when dropped in real-world scenarios.
AFIT Designator
AFIT-ENY-MS-23-M-283
Recommended Citation
Maxwell, Edward J., "Optimal Control of Precision Airdrop Trajectories Using Direct Collocation and Analytical Methods" (2023). Theses and Dissertations. 7022.
https://scholar.afit.edu/etd/7022
Comments
A 12-month embargo was observed.
Approved for public release. Case number on file.