Randomized and robust methods for uncertain systems using R-RoMulOC, with applications to DEMETER satellite benchmark - Archive ouverte HAL
Article Dans Une Revue Aerospace Lab Année : 2017

Randomized and robust methods for uncertain systems using R-RoMulOC, with applications to DEMETER satellite benchmark

Résumé

R-RoMulOC is a freely distributed toolbox which aims at making easily available to the users different optimization-based methods for dealing with uncertain systems. It implements both deterministic LMI-based results, that provide guaranteed performances for all values of the uncertainties, and probabilistic randomization-based approaches, that guarantee performances for all values of the uncertainties except for a subset with arbitrary small probability measure. The paper is devoted to the description of these two approaches for analysis and control design when applied to a satellite benchmark proposed by CNES, the French Space Agency. The paper also describes the modeling of the DEMETER satellite and its integration into the R-RoMulOC toolbox as a challenging test example. Design of state-feedback controllers and closed-loop performance analysis are carried out with the randomized and robust methods available in the R-RoMulOC toolbox.

Domaines

Automatique

Dates et versions

hal-01570588 , version 1 (31-07-2017)
hal-01570588 , version 2 (17-11-2017)

Identifiants

Citer

Chamanbaz Mohammadreza, Fabrizio Dabbene, Dimitri Peaucelle, Christelle Pittet, Tempo Roberto. Randomized and robust methods for uncertain systems using R-RoMulOC, with applications to DEMETER satellite benchmark. Aerospace Lab, 2017, 13, 15p. ⟨10.12762/2017.AL13-04⟩. ⟨hal-01570588v1⟩
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