In this paper, modern subspace identication methods are applied to a Multi-conjugate Adaptive optics Demonstrator, MAD, developed at ESO. The identied multi-input multi-output systems mapping voltages into slopes can be obtained on data taken in open/closed loop on beacon and in both SCAO and GLAO congurations. The advantages of the proposed approach is twofold: on the one hand the experiment to collect the data takes only few minutes during day time, it can be done on beacon, and all the computational eort is moved on-line. On the other hand, subspace identication provides the mathematical model necessary to design modern model-based controllers (e.g. linear quadratic control).
Multi-input Multi-Output Identication for Control of Adaptive Optics Systems
MURADORE, Riccardo;
2014-01-01
Abstract
In this paper, modern subspace identication methods are applied to a Multi-conjugate Adaptive optics Demonstrator, MAD, developed at ESO. The identied multi-input multi-output systems mapping voltages into slopes can be obtained on data taken in open/closed loop on beacon and in both SCAO and GLAO congurations. The advantages of the proposed approach is twofold: on the one hand the experiment to collect the data takes only few minutes during day time, it can be done on beacon, and all the computational eort is moved on-line. On the other hand, subspace identication provides the mathematical model necessary to design modern model-based controllers (e.g. linear quadratic control).
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