Artificial Intelligence Techniques for Controlling Spacecraft Power System
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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:51366", author = "Hanaa T. El-Madany and Faten H. Fahmy and Ninet M. A. El-Rahman and Hassen T. Dorrah", title = "Artificial Intelligence Techniques for Controlling Spacecraft Power System", 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.", volume = "5", number = "1", pages = "19-6", }
