Organizational Unit:
Daniel Guggenheim School of Aerospace Engineering

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Author: Lightsey, E. Glenn × End date: 2017 × Start date: 2017 × Item Type: Publication × search.filters.applied.f.isOrgUnitOfPublicationTitle: Space Systems Design Laboratory (SSDL) ×

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Solar Activity Investigation (SAI): A 6U CubeSat Mission Concept

2017-12 , Murphy, Neil , Jefferies, Stuart , Fleck, Bernhard , Berrilli, Francesco , Velli, Marco , Lightsey, E. Glenn , Gizon, Laurent , Braun, Doug

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Reference Ground Station Design for University Satellite Missions with Varying Communication Requirements

2017-01 , Choi, Thomas , Stevenson, Terry H. , Lightsey, E. Glenn

The Georgia Institute of Technology will support five small satellite missions within a two year frame (2017 to 2019). Each satellite has different communication requirements because the mission requirements and hardware components are different for every mission. This paper discusses a common ground station architecture which will support every small satellite mission from Georgia Tech. Georgia Tech will use a network of three different ground stations, utilizing commercial off the shelf (COTS) operations software, software defined radios (SDR), and open source tracking software. This paper describes the Georgia Tech ground station and how challenges were addressed to meet the multi-mission communication requirements.

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Spacecraft Relative Navigation Using Appearance Matching and Sensor Fusion

2017-02 , McBryde, Christopher R. , Lightsey, E. Glenn

In this research, the task of object recognition and relative navigation is accomplished by fusing visible spectrum and infrared images. The appearance matching technique is briefly explained and it is shown how it can be extended to infrared images. A series of tests are performed to demonstrate the object recognition and pose estimation capabilities of the system in the visible and infrared spectra. It is also shown how the fusion of both types of images can provide greater accuracy and robustness in relative navigation than either visual or infrared images alone. Additionally, a simulation environment software tool has been developed to facilitate the creation of training images and to perform software-in-the-loop verification.

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Performance Characterization of a Cold Gas Propulsion System for a Deep Space Cubesat

2017-02 , Sorgenfrei, Matt , Stevenson, Terry , Lightsey, E. Glenn

One challenge facing the developers of CubeSats that operate in deep space is that magnetic torque rods cannot be used for unloading the momentum stored in reaction wheels. Rather, this task is performed by a system of thrusters. While a wide variety of attitude control thrusters have been deployed on larger spacecraft, there remain very few examples of such systems being used on CubeSats. The upcoming BioSentinel mission, under development at NASA Ames Research Center, is an example of a CubeSat-class spacecraft that requires thrusters for momentum management. A new 3D-printed cold gas thruster was developed for this application. This paper will describe the test campaign that was completed for the engineering development unit (EDU), and will present a variety of preliminary results describing the performance characteristics of the thruster. The test campaign for the propulsion system EDU was carried out in partnership with members of the In-Space Propulsion Branch at Glenn Research Center in Cleveland, OH.

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