@article{(Open Science Index):https://publications.waset.org/pdf/2232,
	  title     = {Artificial Intelligence Techniques for Controlling Spacecraft Power System},
	  author    = {Hanaa T. El-Madany and  Faten H. Fahmy and  Ninet M. A. El-Rahman and  Hassen T. Dorrah},
	  country	= {},
	  institution	= {},
	  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.},
	    journal   = {International Journal of Aerospace and Mechanical Engineering},
	  volume    = {5},
	  number    = {1},
	  year      = {2011},
	  pages     = {56 - 61},
	  ee        = {https://publications.waset.org/pdf/2232},
	  url   	= {https://publications.waset.org/vol/49},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 49, 2011},