Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Dec. 2015, Honolulu)
Stochastic modelling and prediction for spacecraft drag-free control
Enrico Canuto
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2016 Volume 2016 Pages 358-367

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Abstract
Spacecraft drag-free control is an effective way to make satellite orbit only shaped by gravity and to achieve accurate and quiet alignment of the spacecraft axes to their reference. Essential measurements come from fine accelerometers. Exploiting the experience of the GOCE satellite drag-free and attitude control, the paper provides an integrated modelling and control design procedure which encompasses accelerometer and spacecraft control. Essential to this framework is the stochastic modelling and prediction of the unknown disturbance class to be counteracted. Stochastic modelling of disturbance is the key asset of the Embedded Model Control methodology. Among other advantages it allows robust decoupling of state prediction and control for complex dynamic systems.
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© 2016 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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