Anais Do 10. Congresso Brasileiro De Inteligência Computacional 2016
DOI: 10.21528/cbic2011-405
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Three-Axis Stabilized Geostationary Satellite Attitude Control Using Neural Predictive Algorithms

Abstract: -A study of a three-axis stabilized satellite attitude control in geostationary orbit is presented. The analysis is based on a neural predictive approach using Kalman filtering algorithms. Optimization of a quadratic performance functional is used to determine the discrete predictive control actions. The control determination on a typical iteration is viewed as a stochastic optimal linear parameter estimation problem. Direct analogy with Kalman filtering algorithms allows the derivation of full non-parallel as… Show more

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