Date of Award

3-2024

Document Type

Thesis

Degree Name

Master of Science in Astronautical Engineering

Department

Department of Aeronautics and Astronautics

First Advisor

David H. Curtis, PhD

Abstract

Utilizing the C++ version of GPOPS within a robotic operating system to assess efficacy on flight-ready hardware is a vital interest of the space industry today. The findings in this paper show the ability of employing GPOPS in C++ on flight-ready hardware, leveraging optimal control as the main driver to creating a control pipleline to allow a robotic platform to generate and follow an optimized trajectory with minimal user input.

AFIT Designator

AFIT-ENY-MS-24-M-206

Comments

An embargo was observed for posting this thesis on AFIT Scholar.  

Approved for public release. 88ABW-2024-0358

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