DocumentCode :
189076
Title :
Mirrors´ dynamics: A plague for adaptive optics systems performance?
Author :
Nechak, Lyes ; Raynaud, Henri-Francois ; Kulcsar, Caroline ; Conan, Jean-Marc
Author_Institution :
Lab. de tribologie et dynamique des Syst., Écully, France
fYear :
2014
fDate :
24-27 June 2014
Firstpage :
2404
Lastpage :
2411
Abstract :
This paper proposes a constructive controller design technique to optimize the closed-loop performance of adaptive optics systems in presence of deformable mirror´s dynamics, based on LTI continuous-time models of the disturbance and mirror. This sampled-data stochastic minimum-variance control problem has an equivalent discrete-time and tractable LQG control formulation. We show that the optimal solution can be obtained in a simpler way than what was proposed previously in the literature, with all control calculations being performed using off-the-shelf state-space control software. The proposed formulation provides an easy tool for performance evaluation of sub-optimal controllers. As an illustrative example, control of the tip-tilt wavefront distortion modes for an Extremely Large Telescope (ELT)-class AO system in presence of poorly damped second order DM´s dynamics well within the disturbance rejection bandwidth is presented. Variance calculations and time-domain simulations show that in this case, infinite actuator bandwidth is not mandatory, on the condition DM´s dynamics be adequately accounted for.
Keywords :
adaptive optics; linear quadratic Gaussian control; mirrors; telescopes; LTI continuous-time models; adaptive optics systems performance; closed-loop performance; constructive controller design technique; deformable mirror dynamics; discrete-time LQG control formulation; disturbance; extremely large telescope; infinite actuator bandwidth; sampled-data stochastic minimum-variance control problem; time-domain simulations; tip-tilt wavefront distortion modes; tractable LQG control formulation; variance calculations; Computational modeling; Covariance matrices; Equations; Kalman filters; Mathematical model; Standards; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
Type :
conf
DOI :
10.1109/ECC.2014.6862339
Filename :
6862339
Link To Document :
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