GEO satellite station keeping mass design based on data mining

Maani, Ehsan; Nikpey, Peyman; Zabihian, Ehsan

doi:10.22034/jsst.2021.1221

Document Type : Research Paper

Authors

¹ Associate Professor, Department of Mechanical Engineering, University of Tehran, Tehran, Iran.

² Satellite Research Institute, Iranian Research Center, Tehran, Iran

https://doi.org/10.22034/jsst.2021.1221

Abstract

n GEO communicational satellites, thrusts are being used for many missions such as station keeping, longitude change maneuver and actuators desaturation. These types of actuators need fuel and its estimation requires many complicated calculations. In this paper, a novel method based on availed data for previous satellites is proposed for estimation of satellite fuel mass and it does not need mathematical modeling of satellite dynamics. Two methods, least square method and artificial intelligence, are used to this aim and two mathematical model are proposed for satellite fuel mass estimation. By applying the models to several previous satellites, it is shown that the models have lower than 5% average error. The proposed method in this paper is quick and accurate and can be utilized for GEO satellites feasibility study and conceptual design

Keywords

20.1001.1.20084560.1400.14.1.3.0

Main Subjects

Space subsystems design: (navigation, control, structure and…)

References

[1] Shrivastava, S.K., "Orbital Perturbations and Stationkeeping of Communication Satellites," Journal of Spacecraft and Rockets, Vol. 15, No. 2, 1978, pp. 67-78.

[2] Circi, C., "Simple Strategy for Geostationary Stationkeeping Maneuvers Using Solar Sail," Journal of Guidance, Control, and Dynamics,. Vol. 28, No. 2, 2005, pp. 249-253.

[3] Borissov, S., Wu, Y. and Mortari, D., "East–West GEO Satellite Station-Keeping with Degraded Thruster Response," Aerospace, Vol. 2, No. 4, pp. 581-601.

[4] Gomes, V.M. and Prado, A.F., "Low-thrust out-of-Plane Orbital Station-keeping Maneuvers for Satellites," Mathematical Problems in Engineering, Vol. 2012, 2012, p. 14.

[5] Sukhanov, A. and Prado, A., "On One Approach to the Optimization of Low-thrust Station Keeping Manoeuvres." Advances in Space Research,. Vol. 50, No. 11, 2012, pp. 1478-1488.

[6] Yang, W. and Li, S., "A Station-keeping Control Method for GEO Spacecraft Based on Autonomous Control Architecture," Aerospace Science and Technology, Vol. 45: 2015, pp. 462-475.

[7] Gazzino, C. and et al., "Optimal Control for Minimum-fuel Geostationary Station Keeping of Satellites Equipped with Electric Propulsion". IFAC-PapersOnLine, Vol. 49, No. 17, 2016, pp. 379-384.

[8] Arvelo, E.R. and Martins, N.C., "Optimal Sensor Scheduling for Station-keeping in Denied Environments", Journal of the Franklin Institute, Vol. 356, Issue 17, 2019, pp. 10480-10513.

[9] Weiss, A., Kalabić, U.V. and Di, S., Cairano, "Station keeping and momentum management of low-thrust satellites using MPC." Aerospace Science and Technology, Vol. 76, 2018, pp. 229-241.

[10] de Almeida Prado, A.F.B., "Searching for orbits with minimum fuel consumption for station-keeping maneuvers: an application to lunisolar perturbations." Mathematical Problems in Engineering, Vol. 2013, 2013, p. 11.

[11] Losa, D. and et al., "Electric Station Keeping of Geostationary Satellites: A Differential Inclusion Approach," in Proceedings of the 44^th IEEE Conference on Decision and Control (IEEE), 2005.

[12] Li, L. and et al., "Geostationary Station-Keeping With Electric Propulsion in Full and Failure Modes." Acta Astronautica, Vol. 163, part 2, 2019, pp. 130-144.

[13] Braha, D., Data Mining for Design and Manufacturing: Methods and Applications, Vol. 3, Springer Science & Business Media, 2013.

[14] Brown, D.C., Artificial Intelligence for Design Process Improvement, in Design Process Improvement, Springer. 2005, p. 158-173.

[15] Tavakoli, M. and N. Assadian, "Predictive Fault-Tolerant Control of an All-Thruster Satellite In 6-DOF Motion Via Neural Network Model Updating," Advances in Space Research, Vol. 61, No. 6, 2018, pp. 1588-1599.

[16] Baldi, P., et al., "Combined Geometric And Neural Network Approach to Generic Fault Diagnosis in Satellite Actuators and Sensors," IFAC-Papers On Line, Vol. 49, 17, 2016, pp. 432-437.

[17] Zhu, Q. and et al., "U-Neural Network-Enhanced Control of Nonlinear Dynamic Systems," Neurocomputing, Vol. 352, 2019, pp. 12-21.

[18] Shamlu, F. and Naghash, A. "Satellite Orbit Prediction Through Observation Data and the Artificial Neural Networks", Journal of Space Science and Technology (JSST), Vol. 10, No. 2, 2017. pp. 1-8.

[19] Emme, E.M., A History of Space Flight. Vol. 27. Holt McDougal, 1965.

[20] edited By: Wertz, J.R., Everett, D.F. and Puschell, J.J., Space Mission Engineering: The New SMAD2011: Microcosm Press.

[21] Wertz, J.R. and Larson, W.J. Space Mission Analysis and Design, Edition 3., Space Technology Library, 1992.

[22] Fortescue, P., Swinerd, G. and Stark, J., Spacecraft Systems Engineering, John Wiley & Sons, 2011.

[23] Brown, C.D., Elements of spacecraft design 2002: Aiaa.

[24] Mirshams, M., Saghari, A. and Zabihian, E., "Complementary Method the Conceptual Design of Space Craft Electrical Power Subsystem," Journal of Space Science and Technology (JSST), Vol. 8, No. 3, 2015, pp. 55-63.

[25] Riaz, R. and et al., "Using Statistical and Artificial Intelligence Approach to Predict The Exhaust Gas Temperature of A Micro Gas Turbine Engine," Aerospace Knowledge and Technology Journal, Vol. 4, No. 2, 2015, pp. 77-94.

[26] Zabihian, E., Novel Method for GEO Satelittes Conceptual Design, (Thesis PhD) KNT University, Iran, 2018.

[27] Ljung, L., System Identification. Wiley Encyclopedia of Electrical and Electronics Engineering, 1999و, p. 1-19.

[28] Karlik, B. and Olgac, A.V., "Performance Analysis of Various Activation Functions In Generalized MLP Architectures of Neural Networks." International Journal of Artificial Intelligence and Expert Systems, Vol. 1, No. 4, 2011, pp. 111-122.

[29] Shanmuganathan, S., Artificial Neural Network Modelling: An Introduction, In Artificial Neural Network Modelling, Springer,2016, pp. 1-14.

GEO satellite station keeping mass design based on data mining

References

References

Volume 14, Issue 1 - Serial Number 46March 2021Pages 23-33

Volume 14, Issue 1 - Serial Number 46
March 2021
Pages 23-33