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Attitude reconstruction of suborbital small spacecrafts using a global optimization method
KTH, School of Electrical Engineering (EES), Space and Plasma Physics.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
KTH, School of Electrical Engineering (EES), Space and Plasma Physics.
2017 (English)In: Acta Astronautica, ISSN 0094-5765, E-ISSN 1879-2030Article in journal (Other academic) Submitted
Abstract [en]

Attitude motion of suborbital payloads is closely related to the quality of scientic measurements. In this paper, attitude reconstruction of suborbital payloads in terms of yaw-pitch-roll Euler angle is studied, according to measurements of magnetic fields from a magnetometer and angular velocities from a gyro sensor. To avoid complex dynamical modelling, the kinematic equations were used. The Euler angles were established by using an global optimization method. Moreover, the Euler angles were estimated by employing Unscented Kalman Filter (UKF) technique. The comparison of the optimized results to the ones from the UKF shows that the global optimization method provides higher accuracy than the UKF.

Place, publisher, year, edition, pages
2017.
National Category
Aerospace Engineering
Identifiers
URN: urn:nbn:se:kth:diva-206849OAI: oai:DiVA.org:kth-206849DiVA: diva2:1094146
Note

QC 20170509

Available from: 2017-05-09 Created: 2017-05-09 Last updated: 2017-05-10Bibliographically approved
In thesis
1. Attitude and Trajectory Estimation for Small Suborbital Payloads
Open this publication in new window or tab >>Attitude and Trajectory Estimation for Small Suborbital Payloads
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Sounding rockets and small suborbital payloads provide a means for research in situ of the atmosphere and ionosphere. The trajectory and the attitude of the payload are critical for the evaluation of the scientific measurements and experiments. The trajectory refers the location of the measurement, while the attitude determines the orientation of the sensors.

This thesis covers methods of trajectory and attitude reconstruction implemented in several experiments with small suborbital payloads carried out by the Department of Space and Plasma Physics in 2012--2016.

The problem of trajectory reconstruction based on raw GPS data was studied for small suborbital payloads. It was formulated as a global least squares optimization problem. The method was applied to flight data of two suborbital payloads of the RAIN REXUS experiment. Positions and velocities were obtained with high accuracy.

Based on the trajectory reconstruction technique, atmospheric densities, temperatures, and horizontal wind speeds below 80 km were obtained using rigid free falling spheres of the LEEWAVES experiment. Comparison with independent data indicates that the results are reliable for densities below 70 km, temperatures below 50 km, and wind speeds below 45 km.

Attitude reconstruction of suborbital payloads from yaw-pitch-roll Euler angles was studied. The Euler angles were established by two methods: a global optimization method and an Unscented Kalman Filter (UKF) technique. The comparison of the results shows that the global optimization method provides a more accurate fit to the observations than the UKF.

Improving the results of the falling sphere experiments requires understanding of the attitude motion of the sphere. An analytical consideration was developed for a free falling and axisymmetric sphere under aerodynamic torques. The motion can generally be defined as a superposition of precession and nutation. These motion phenomena were modeled numerically and compared to flight data.

Place, publisher, year, edition, pages
Stockholm, Sweden: KTH Royal Institute of Technology, 2017
Series
TRITA-EE, ISSN 1653-5146
Keyword
free falling, least squares optimization, unscented Kalman filter
National Category
Aerospace Engineering
Research subject
Aerospace Engineering
Identifiers
urn:nbn:se:kth:diva-206965 (URN)978-91-7729-427-6 (ISBN)
Public defence
2017-06-02, Q2, Osquldas väg 10, Stockholm, 14:00 (English)
Opponent
Supervisors
Note

QC 20170510

Available from: 2017-05-10 Created: 2017-05-10 Last updated: 2017-06-02Bibliographically approved

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