Measurement correction of a set of analog sun sensors via neural network

Date

2021-06-23

Author

Sozen, Semsettin Numan
Gokce, Murat
Yavuzyilmaz, Cagatay
Gulmammadov, Farid
Söken, Halil Ersin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

262
views

0
downloads

A Neural Network (NN) based method to improve the accuracy of a set of analog Sun sensors is presented. Analog Sun Sensors are commonly used on satellites due to their reduced cost, small size and low power consumption. However, especially in Earth imaging satellites, they are prone to the Earth albedo effects. Magnitude and direction of albedo change depending on the reflection characteristics of the Earth's surface, position and attitude of the satellite and position of the Sun. The albedo may deteriorate Sun direction measurements by the analog Sun sensor as much as 20°. In this study, a multilayer NN, which is trained using the Sun direction vector and available attitude information, is applied to the Sun sensor readings to correct the voltage output for the corresponding measurements. Then the corrected Sun angles in sensor x and y axes are obtained by combining NN outputs with the sensor measurements. The proposed algorithm is tested in various simulation scenarios of differing training and interrogation periods for the NN. Results show that the Sun sensor measurements can be corrected up to an accuracy of 1° using the NN approach. Generalization of the NN by tuning the parameters enables using the same trained NN for extended durations of time.

Subject Keywords

Analog Sun sensor, Attitude estimation, Low Earth orbit satellites, Measurement correction, Multi-layer neural network

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114025674&origin=inward
https://hdl.handle.net/11511/93634

DOI

https://doi.org/10.1109/metroaerospace51421.2021.9511675

Conference Name

8th IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2021

Collections

Department of Aerospace Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Noise analysis and characterization of a sigma-delta/capacitive microaccelerometer Külah, Haluk; Yazdi, N; Najafi, K (2006-02-01) This paper reports a high-sensitivity low-noise capacitive accelerometer system with one micro-g/root Hz resolution. The accelerometer and interface electronics together operate as a second-order electromechanical sigma-delta modulator. A detailed noise analysis of electromechanical sigma-delta capacitive accelerometers with a final goal of achieving sub-jig resolution is also presented. The analysis and test results have shown that amplifier thermal and sensor charging reference voltage noises are dominant...
Multimedia communication in wireless sensor networks Gurses, E; Akan, OB (2005-07-01) The technological advances in Micro ElectroMechanical Systems (MEMS) and wireless communications have enabled the realization of wireless sensor networks (WSN) comprised of large number of low-cost, low-power multifunctional sensor nodes. These tiny sensor nodes communicate in short distances and collaboratively work toward fulfilling the application specific objectives of WSN. However, realization of wide range of envisioned WSN applications necessitates effective communication protocols which can address ...
Error analysis and testing of DRM for frame cameras Bettemir, Oe. H.; Karslıoğlu, Mahmut Onur; Friedrich, J. (2007-06-16) A new Differential Rectification Method (DRM) for frame cameras is proposed by Karslioglu and Friedrich [1] for the generation of orthoimages from monoscopic digital images which map every pixel onto a curved surface of reference frame i.e. WGS84. The ellipsoidal geodetic coordinates, of each pixel are calculated directly under the condition that a precise enough elevation model is available avoiding additional earth curvature corrections after the rectification. In this paper, convergence of the differenti...
Wearable battery-less wireless sensor network with electromagnetic energy harvesting system Chamanian, Salar; Ulusan, Hasan; Zorlu, Ozge; Baghaee, Sajjad; Uysal, Elif; Külah, Haluk (2016-10-01) This paper presents a battery-less wireless sensor network (WSN) equipped with electromagnetic (EM) energy harvesters and sensor nodes with adjustable time-interval based on stored the energy. A wearable EM energy harvesting system is developed and optimized to power-up a typical wireless sensor mote from body motion. This is realized through characterization of the body motion and design of a compact EM energy harvester according to vibration frequencies generated during human running and walking. The harv...
Robot end-effector based sensor integration for tracking moving parts Konukseven, Erhan İlhan (2000-08-31) This paper presents a cost-efficient end-effector based infrared proximity sensor integration system and the implementation of fuzzy-logic control algorithm.

Citation Formats

S. N. Sozen, M. Gokce, C. Yavuzyilmaz, F. Gulmammadov, and H. E. Söken, “Measurement correction of a set of analog sun sensors via neural network,” presented at the 8th IEEE International Workshop on Metrology for AeroSpace, MetroAeroSpace 2021, Virtual, Online, 2021, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114025674&origin=inward.