Minimum variance control for mitigation of vibrations in adaptive optics systems

2017 ◽  
Vol 56 (19) ◽  
pp. 5388 ◽  
Author(s):  
Pedro Escárate ◽  
Rodrigo Carvajal ◽  
Laird Close ◽  
Jared Males ◽  
Katie Morzinski ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
Minimum Variance ◽  
Minimum Variance Control

Minimum-variance control for woofer–tweeter systems in adaptive optics

2010 ◽  
Vol 27 (11) ◽  
pp. A133 ◽  
Author(s):  
Carlos Correia ◽  
Henri-François Raynaud ◽  
Caroline Kulcsár ◽  
Jean-Marc Conan
Keyword(s):  
Adaptive Optics ◽  
Minimum Variance ◽  
Minimum Variance Control

scholarly journals Disturbance Modelling for Minimum Variance Control in Adaptive Optics Systems Using Wavefront Sensor Sampled-Data

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3054
Author(s):  
María Coronel ◽  
Rodrigo Carvajal ◽  
Pedro Escárate ◽  
Juan C. Agüero
Keyword(s):  
Adaptive Optics ◽  
Minimum Variance ◽  
Likelihood Method ◽  
Wavefront Sensor ◽  
Sampled Data ◽  
Minimum Variance Control ◽  
Astronomical Images ◽  
Large Telescopes ◽  
Identification Techniques ◽  
Damped Oscillators

Modern large telescopes are built based on the effectiveness of adaptive optics systems in mitigating the detrimental effects of wavefront distortions on astronomical images. In astronomical adaptive optics systems, the main sources of wavefront distortions are atmospheric turbulence and mechanical vibrations that are induced by the wind or the instrumentation systems, such as fans and cooling pumps. The mitigation of wavefront distortions is typically attained via a control law that is based on an adequate and accurate model. In this paper, we develop a modelling technique based on continuous-time damped-oscillators and on the Whittle’s likelihood method to estimate the parameters of disturbance models from wavefront sensor time-domain sampled-data. On the other hand, when the model is not accurate, the performance of the minimum variance controller is affected. We show that our modelling and identification techniques not only allow for more accurate estimates, but also for better minimum variance control performance. We illustrate the benefits of our proposal via numerical simulations.

Minimum variance control in presence of actuator saturation in adaptive optics

2008 ◽  
Author(s):  
Caroline Kulcsár ◽  
Henri-François Raynaud ◽  
Cyril Petit ◽  
Jean-Marc Conan
Keyword(s):  
Adaptive Optics ◽  
Actuator Saturation ◽  
Minimum Variance ◽  
Minimum Variance Control

Minimum-Variance Control for Astronomical Adaptive Optics with Resonant Deformable Mirrors

2011 ◽  
Vol 17 (3) ◽  
pp. 222-236 ◽  
Author(s):  
Carlos Correia ◽  
Henri-François Raynaud ◽  
Caroline Kulcsár ◽  
Jean-Marc Conan
Keyword(s):  
Adaptive Optics ◽  
Minimum Variance ◽  
Deformable Mirrors ◽  
Minimum Variance Control

scholarly journals Stochastic Control for DC–DC Power Converters: A Generalized Minimum Variance Control Approach

2020 ◽  
Vol 53 (2) ◽  
pp. 13410-13417
Author(s):  
Kevin E. Lucas ◽  
Daniel J. Pagano ◽  
Douglas A. Plaza ◽  
David Alejandro Vaca—Benavides ◽  
Sara J. Ríos
Keyword(s):  
Stochastic Control ◽  
Power Converters ◽  
Minimum Variance ◽  
Control Approach ◽  
Minimum Variance Control ◽  
Dc Power
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