Available at: https://digitalcommons.calpoly.edu/theses/3309
Date of Award
6-2026
Degree Name
MS in Aerospace Engineering
Department/Program
Aerospace Engineering
College
College of Engineering
Advisor
Stephen Thiam-Choy Kwok-Choon
Advisor Department
Aerospace Engineering
Advisor College
College of Engineering
Abstract
Growing interest in nanosatellites has increased demand for accessible ground-testing methods, which have historically been expensive and restricted. Floating Spacecraft Simulators (FSS), built around Air Bearing Vehicles (ABVs), address this gap by approximating a zero-gravity, friction-minimized environment suitable for testing spacecraft control systems, robotics, and propulsion on the ground.
This thesis presents the design, realization, and initial performance characterization of the Space Optically Tracked Testbed for Experiments and Research (SpaceOTTER) ABV, developed for the Cal Poly Space Robotics Lab. SpaceOTTER is the first step toward emulating the 3 degree of freedom (3-DOF) planar dynamics of a simulated spacecraft and is intended to serve as both a teaching tool and a research asset for students and faculty at the university.
Testing confirmed that SpaceOTTER achieved its 3-DOF navigational requirements within the mass and spatial constraints of a 12U CubeSat. Demonstrating a 17-minute free-float capability and providing auxiliary power and pneumatic supplies, the platform is ready for hosted payloads. Experimental trials successfully estimated the vehicle’s core dynamic parameters and evaluated its eight subminiature cold-gas solenoid thrusters. These baseline characterization results validate SpaceOTTER as a highly capable testbed. Future work will focus on resolving identified anomalies, refining characterization values, developing a hardware-in-the-loop (HIL) control law, and integrating a reaction wheel for advanced mission profiles.
Included in
Navigation, Guidance, Control and Dynamics Commons, Other Aerospace Engineering Commons, Propulsion and Power Commons, Space Vehicles Commons, Systems Engineering and Multidisciplinary Design Optimization Commons