Artificial Intelligence Techniques for Controlling Spacecraft Power System

Authors: Hanaa T. El-Madany, Faten H. Fahmy, Ninet M. A. El-Rahman, Hassen T. Dorrah

Abstract:

Advancements in the field of artificial intelligence (AI) made during this decade have forever changed the way we look at automating spacecraft subsystems including the electrical power system. AI have been used to solve complicated practical problems in various areas and are becoming more and more popular nowadays. In this paper, a mathematical modeling and MATLAB–SIMULINK model for the different components of the spacecraft power system is presented. Also, a control system, which includes either the Neural Network Controller (NNC) or the Fuzzy Logic Controller (FLC) is developed for achieving the coordination between the components of spacecraft power system as well as control the energy flows. The performance of the spacecraft power system is evaluated by comparing two control systems using the NNC and the FLC.

Keywords: Spacecraft, Neural network, Fuzzy logic control, Photovoltaic array.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1056709

References:

[1] Peter Fortescue, John Stark, and Graham Swinerd, "Spacecraft Systems Engineering", John Wiley & Sons Ltd. , England, 2003.
[2] James A. Freeman and David M. Skapura, "Neural Networks Algorithms, Applications, And Programming Techniques", Addison- Wesley Publishing Company, Inc., Paris,1991.
[3] Leocadio Hontoria, Jorge Aguilera, Florencia Almonacid, Gustavo Nofuentes and Pedro Zufiri, "Artificial Neural Networks Applied in PV Systems and Solar Radiation", Artificial Intelligence in Energy and Renewable, Nova Science Publishers, Inc. , 2006.
[4] Wiley J. Larson, and James R. Wertz, "Spacecraft Mission Analysis and Design", Micrcosm Press, Elo, Segrund, California, 2008.
[5] Sung-Soo Jang, and Jaeho Choi," Energy balance analysis of small satellite in Low Earth Orbit (LEO)," Proc. of 2nd IEEE International Conference on Power and Energy (PECon 08), Johor Baharu, Malaysia. PP. 967-971, 2008.
[6] Kevin M. Passino and Stephen Yurkovich, "Fuzzy Control", Addison Wesley Longman, Inc. , 1998.
[7] Radu-Emil Precup , and Hans Hellendoorn, "A Survey on Industrial Applications of Fuzzy Control", Computers in Industry journal, 2010, under puplished.
[8] Kalogirou SA, "Artificial Intelligence in energy and renewable energy Systems", Nova Publisher, 2007.
[9] Ali Al-Alawi, Saleh M Al-Alawi, and Syed M Islam, "Predictive Control of an Integrated PV-diesel Water and Power Supply System Using an Artificial Neural Network," Renewable Energy , vol. 32, pp. 1426- 1439, 2007.
[10] B. Chuco Paucar, J.L. Roel Ortiz, K.S. Collazos L., L.C.Leite, and J.O.P Pinto, "Power Operation Optimization of Photovoltaic Stand Alone System with Variable Loads Using Fuzzy Voltage Estimator and Neural Network Controller," IEEE Power Tech. , 2007.
[11] Adel Mellita*, Mohamed Benghanemb, "Sizing of Stand-alone Photovoltaic Systems Using Neural Network Adaptive Model", Desalination Journal,Vol. 209, PP. 64-72, 2007.
[12] S. Lalouni, D. Rekioua, T. Rekioua and E. Matagne, "Fuzzy Logic Control of Stand-Alone Photovoltaic System with Battery Storage", Journal of Power Sources, Vol. 193, PP. 899-907, 2009.
[13] Ch. Ben Salah, M. Chaaben, M. Ben Ammar, "Multi-criteria Fuzzy Algorithm for Energy Management of a Domestic Photovoltaic Panel", Renewable Energy Vol. 33, PP. 993 -1001, 2008.
[14] G. Colombo, U. Grasselli, A. De Luca, A. Spizzichino, and S. Falzinis, "Satellite Power System Simulation", Acta Astronautica, Vol. 40, No. I, PP. 4149, 1997.