Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Spinning Spacecraft Attitude Filtering with Spin Parameters: Performance Evaluation with Real Data
Date
2017-06-07
Author
Söken, Halil Ersin
Van Der Ha, Jozef C.
Metadata
Show full item record
Item Usage Stats
191
views
0
downloads
Cite This
Three-axis attitude estimation for spinning spacecraft is recently of considerable practical interest. In this scope, sequential filtering algorithms are also being studied recently. In this study, we extend our recent research for a nonlinear filtering algorithm for spinning spacecraft attitude estimation. In the filter the attitude of the spacecraft is represented using a set of spin parameters. These parameters consist of the spin-axis orientation unit vector in the inertial frame and the spin phase angle. As the system and measurement models are nonlinear an Unscented Kalman Filter (UKF) is implemented to estimate the spacecraft’s attitude. In this paper, we investigate the accuracy of the algorithm by using telemetry data gathered by the CONTOUR spacecraft in 2002. We discuss different methods for satisfying the spherical norm constraint for the spinaxis orientation unit vector terms. The filter works well and produces consistent results with those of the Tanygin-Shuster and TRIAD algorithms. Investigations on the norm constraint condition shows that unit vector normalization must be applied specifically in the presence of measurement biases.
Subject Keywords
spinning spacecraft
,
Attitude filtering
,
UKF
,
Spin parameters
URI
http://www.vanderha.com/Soken%20et%20al%20-%20Spinning%20Spacecraft%20Attitude%20Filtering__%20Performance%20with%20real%20Data%20(ISTS-2017-d-078).pdf
https://hdl.handle.net/11511/80480
Conference Name
26th International Symposium on Space Flight Dynamics, (09 Haziran 2017,)
Collections
Department of Aerospace Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Study on an Advanced Attitude Determination Algorithm for the ERG Spacecraft
Söken, Halil Ersin; Asamura, Kazushi; Nakamura, Yosuke; Takashima, Takeshi (null; 2017-06-07)
AXA’s Arase Spacecraft, which is formerly known as Exploration of Energization and Radiation in Geospace (ERG), was launched on 20 December 2016. The spacecraft is spin-stabilized. Its mission is exploring how relativistic electrons in the radiation belts are generated during space storms. Two on-ground attitude determination algorithms are considered for the mission: a conventional simple algorithm that inherits from old missions and an advanced algorithm that is newly designed. This paper discusses the de...
Pseudo-Linear Kalman Filter for Attitude Estimation of a Spinning Nanosatellite
Söken, Halil Ersin; Kallio, Esa; Visala, Arto; Selkainaho, Jorma (null; 2017-06-09)
This paper presents the pseudo-linear estimation approach to the high-rate spinning small spacecraft attitude estimation problem. The sensor suit utilised in the presented approach uses gyro, magnetometer and sun-sensor measurements. The presented estimation technique has been designed particularly for the problem of attitude determination during the Aalto-1 nanosatellite's Plasma Brake Experiment (PBE). The design of the PBE demands the satellite to be spun up to 200 deg/s for deploying the tether by the u...
Real-Time Attitude Independent Calibration of Spinning Spacecraft Magnetometers Using Quasi-Measurements
Cetin, Mustafa Efe; Söken, Halil Ersin; Sakai, Shin-ichiro (2022-11-01)
Magnetometers are essential sensors for attitude estimation in small spacecraft due to their robust, inexpensive, and lightweight characteristics. However, the raw measurements contain sensor errors. These errors degrade the attitude estimation accuracy. This study proposes a complete real-time attitude-independent magnetometer calibration algorithm for spinning spacecraft. The recursive algorithm aims to estimate the full error state, bias, scale factor, and non-orthogonality corrections in real-time and w...
Pseudo-Linear Approach to Nanosatellite Attitude Estimation and Magnetometer Calibration
Khurshid, Osama; Selkainaho, Jorma; Kallio, Esa; Visala, Arto; Söken, Halil Ersin (2017-01-01)
This paper presents the pseudo-linear estimation approach to the high-rate spinning small spacecraft attitude estimation problem. The sensor suit utilised in the presented approach uses gyro, magnetometer and sun-sensor measurements. The presented estimation technique has been designed particularly for the problem of attitude determination during the Aalto-1 nanosatellite's Plasma Brake Experiment (PBE). The design of the PBE demands the satellite to be spun up to 200 deg/s for deploying the tether by the u...
Attitude and Orbit Control of a Solar Sail Spacecraft for Responsive Operational Concept
Polat, Halis Can; Tekinalp, Ozan; Department of Aerospace Engineering (2021-6-15)
Utilization of the propellant-free thrust capability of Solar Sail Spacecraft (SSS) is addressed. For this purpose, an elliptical orbit with a very low perigee altitude and an apogee altitude high enough to have solar sail acceleration is proposed for Earth observation mission. In the mission part, regional observation tasks are carried out that take place in very Low Earth Orbit region. The orbit maintenance and control are handled in the high altitude regions. The baseline SSS design is accomplished and p...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
H. E. Söken and J. C. Van Der Ha, “Spinning Spacecraft Attitude Filtering with Spin Parameters: Performance Evaluation with Real Data,” presented at the 26th International Symposium on Space Flight Dynamics, (09 Haziran 2017,), Matsuyama, Japonya, 2017, Accessed: 00, 2021. [Online]. Available: http://www.vanderha.com/Soken%20et%20al%20-%20Spinning%20Spacecraft%20Attitude%20Filtering__%20Performance%20with%20real%20Data%20(ISTS-2017-d-078).pdf.