Design of the Attitude Estimation Algorithms for the GT-1 CubeSat

Author(s)
Guecha-Ahumada, Nelson G.
Editor(s)
Associated Organization(s)
Organizational Unit
Daniel Guggenheim School of Aerospace Engineering
The Daniel Guggenheim School of Aeronautics was established in 1931, with a name change in 1962 to the School of Aerospace Engineering
Supplementary to:
Abstract
GT-1 is the first of four 1U CubeSats under development by the Georgia Institute of Technology’s Space Systems Design Laboratory (SSDL). Its main objective is to prove the feasibility of an inexpensive spacecraft bus designed and fabricated by students in just over a year. Given the mass, volume and cost constraints; the sensor suite is limited to low-cost Commercial-Off-The-Shelf (COTS) components such as Coarse Sun Sensors, a Magnetometer, an Inertial Measurement Unit (IMU), and a Global Positioning System (GPS) receiver. A 6-Degree-of-Freedom (6-DOF) simulation of GT-1 was created to develop sensor models and estimation algorithms. Two static attitude determination methods, TRIAD and Davenport’s Q Method were developed and evaluated using the 6-DOF simulation. In addition, an Extended Kalman Filter (EKF) was developed using the same simulation environment to provide a sequential attitude estimation framework capable of propagating the attitude dynamics and correcting the attitude estimate. This document acts as a survey of reliable attitude estimation techniques and algorithms that can be implemented on an elementary mission profile based on a modest sensor suite
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Date
2020-05-01
Extent
Resource Type
Text
Resource Subtype
Masters Project
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