Modeling and Analysis of Delfi-C3 Telemetry

Modeling and Analysis of Delfi-C3 Telemetry: Earth Orbit Parameters Estimation and AttitudeModel Improvements

Pasqualetto Cassinis, Lorenzo (TU Delft Aerospace Engineering; TU Delft Space Engineering)

Gill, E.K.A. (mentor)

Delft University of Technology

Aerospace Engineering

2017-07-11

This thesis reports on the reconstruction of key orbital elements of the Earth’s orbit around the Sun from a miniaturized temperature sensor onboard of theDelfi-C3 Cubesat, a novel approach never explored before to the best of our knowledge. Delfi-C3 is a triple-unit CubeSat with a mass of 2.4 kg, developed by Delft University of Technology, which was launched on April 28th in 2008. Despite of its required lifetime of less than four months, Delfi-C3 is still operational and has been beaconing data for 8.6 years, which makes this CubeSat mission unique in terms of a continuous record of telemetry data. Recent inspections of Delfi-C3 telemetry data over five years from different temperature sensors have revealed surprisingly systematic patterns of periodic nature with an amplitude of 3.1 K and a period of one synodic year. First speculations associated this behavior to be correlated to the orbit of the Earth around the Sun. An analytical model of the temperature fluctuations has been established which associates the amplitude, phase and period of the observed temperature to the eccentricity, the argument of periapsis, and the period of the Earth’s orbit around the Sun, respectively. This analysis represented the first attempt to reconstruct the Earth’s orbit from satellite temperature measurements. To quantitatively estimate the Earth orbit parameters from in-flight telemetry data, a numerical least-squares estimator has been developed and applied to Delfi-C3 temperature data over the period 2008-2015. Preliminary results by using temperature data from the On Board Computer (OBC) Printed Circuit Board already showed that the estimated semi-major axis, eccentricity, and argument of periapsis of the Earth orbit differ from the true values of less than 1%, 3%, and 5%, respectively. An additional filtering of raw data further demonstrated that the achievable accuracy of the estimation can be refined up to better than 0.05%, 2% and 2.5%, respectively. In this thesis, the sensitivity of those results to initial conditions, filtering schemes and estimator settings are addressed. Furthermore, a refined analytical thermal model is created for
Delfi-C3 internal stack, in order to check if a comparable accuracy can be obtained also for other instruments that are less sensitive to external temperature fluctuations, in cases where the internal dissipation requires a better representation of the thermal paths in the internal stack.
In addition to the above analysis, the attitude determination systemon board Delfi-C3 is also reviewed by analyzing the telemetry data fromthe AutonomousWireless Sun Sensor (AWSS) and from the four photodiodes
located on the deployable solar panels. By adopting an analytical model for the Earth albedo, the possibility of retrieving a three-axis attitude determination from these simple sensor is assessed for the case on hand. This
ismade bymonitoring the influence of the albedo termon the determination accuracy for several periods in Delfi-C3 telemetry. It is expected that this analysis will contribute to the understanding of the accuracies of a coarse three-axis attitude determination that makes use of only Sun sensors. Furthermore, the results can be used to determine key factors in the hysteretic process in-orbit, which occur when a PassiveMagnetic Attitude
Stabilization (PMAS) is chosen, by comparing the analytical models for the satellite dynamics with the in-orbit attitude obtained from the deterministic method herewith reviewed. This is expected to contribute to a better understanding and improvement of models used in the design of future CubeSat missions.

Delfi-C3
Thermal behaviour
Attitude Determination
Estimation Theory

http://resolver.tudelft.nl/uuid:d9c4499f-1dc0-4733-9428-8911568988e2

Student theses

master thesis

© 2017 Lorenzo Pasqualetto Cassinis