Certificate of Registration Media number Эл #ФС77-53688 of 17 April 2013. ISSN 2308-6033. DOI 10.18698/2308-6033
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On the use of light sensors on CubeSat nanosatellites

Published: 24.11.2021

Authors: Kolesnikova M.A., Nikolaev P.N., Kramlikh A.V.

Published in issue: #11(119)/2021

DOI: 10.18698/2308-6033-2021-11-2131

Category: Aviation and Rocket-Space Engineering | Chapter: Aircraft Dynamics, Ballistics, Motion Control

The paper focuses on the usage of the TCS34725 light sensor in the motion control system of the SamSat-Science nanosatellite platform. The sensor is designed to determine the angle between the sensor normal and the direction to the light emitter center. We developed a technique for calibrating light sensors, carried out a series of experiments, verified the nominal characteristic of the light sensor, and found the dependency of mean squared deviation (MSD) of the sensor values on the angle of incidence of the light flux. Three layouts of light sensors on the lateral faces of the nanosatellite are considered: on a plane; on the faces of a quadrangular pyramid with an inclination angle of 45°; on the faces of a truncated quadrangular pyramid with an angle of inclination of 45°. We have chosen a circuit that provides measurements with minimum noise.

[1] Belokonov I.V., Timbay I.A., Nikolaev P. Problems and features of navigation and control of nanosatellites: Experience and lessons learned. 24th St. Petersburg International Conference on Integrated Navigation Systems (ICINS). St. Petersburg, 2017, pp. 1–14. DOI: 10.23919/ICINS.2017.7995670
[2] Nanosats Database. Available at: (accessed March 1, 2021).
[3] Poghosyan A., Golkar A. CubeSat evolution: Analyzing CubeSat capabilities for conducting science missions. Progress in Aerospace Sciences, 2017, vol. 88, pp. 59–83.
[4] Grigoreva M.E., Kramlikh A.V. Vestnik Samarskogo universiteta. Aerokosmicheskaia tekhnika, tekhnologii i mashinostroenie — Vestnik of Samara University. Aerospace and Mechanical Engineering, 2013, vol. 12, no. 4 (42), pp. 130–139.
[5] Yang Y. Spacecraft attitude determination and control: Quaternion based method. Annual Reviews in Control, 2012, vol. 36 (2), pp. 198–219.
[6] Hajiyev Ch., Guler D.C. Review on gyroless attitude determination methods for small satellites. Progress in Aerospace Sciences, 2017, vol. 90, pp. 54–66.
[7] Cilden-Guler D., Raitoharju M., Piche R., Hajiyev Ch. Nanosatellite attitude estimation using Kalman-type filters with non-Gaussian noise. Aerospace Science and Technology, 2019, vol. 92, pp. 66–76.
[8] Salgado-Conrado L. A review on sun position sensors used in solar applications. Renewable and Sustainable Energy Reviews, 2018, vol. 82 (3), pp. 2128–2146.
[9] Antonello A., Olivieri L., Francesconi A. Development of a low-cost sun sensor for nanosatellites. Acta Astronautica, 2018, vol. 144, pp. 429–436.
[10] Post M.A., Li J., Lee R. A low-cost photodiode sun sensor for cubesat and planetary microrover. International Journal of Aerospace Engineering, 2013, vol. 2013, pp. 1–9.
[11] Ivanov D.S., Tkachev S.S., Karpenko S.O., Ovchinnikov M.Yu. Predprinty IPM im. M.V. Keldysha — Keldysh Institute Preprints, no. 28. Moscow, 2010.
[12] Mouser Electronics. Available at: (accessed October 1, 2020).
[13] Gubin S.V., Burym I.G., Debely V.V. Aviatsionno-kosmicheskaya tekhnika i tekhnologiya (Aerospace engineering and technology), 2013, no. 1 (98), pp. 94–101.
[14] Hesan Ziar, Furkan Fatih Sönmez, Olindo Isabella, Miro Zeman. A comprehensive albedo model for solar energy applications: Geometric spectral albedo. Applied Energy, 2019, vol. 255 (113867), pp. 1–16.
[15] Tellinghuisen J. Least Squares in Calibration: Weights, Nonlinearity, and Other Nuisances. Methods in Enzymology, 2009, vol. 454, pp. 259–285.
[16] Chen F., Ding F. The filtering based maximum likelihood recursive least squares estimation for multiple-input single-output systems. Applied Mathematical Modeling, 2016, vol. 40 (3), pp. 2106–2118.
[17] Liu Y., Ding F. Convergence properties of the least squares estimation algorithm for multivariable systems. Applied Mathematical Modeling, 2013, vol. 37 (1–2), pp. 476–483.
[18] Pimenov V.G. Chislennye metody Ch. 1 [Numerical methods Part 1]. Moscow, Urait Publ., 2018, 111 p.