Zonal multi-layer predictive control for multi-conjugate adaptive optics: Mavis simulations

Jesse Cranney; Jose De Dona; Francois Rigaut; Visa Korkiakoski

Zonal multi-layer predictive control for multi-conjugate adaptive optics: Mavis simulations

Jesse Cranney^*, Jose De Dona, Francois Rigaut, Visa Korkiakoski

^*Corresponding author for this work

Advanced Instrumentation and Technology Centre

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

Abstract

MAVIS (MCAO-Assisted Visible Imager & Spectrograph) is a proposed instrument for ESO’s VLT Adaptive Optics Facility. MAVIS aims at providing near-diffraction limited images across a 30” FoV. Predictive control allows an increased sky-coverage and is therefore attractive for use in the MAVIS application. This brief communication presents the problem statement, control law, estimation strategy, and simulations for one such scheme in the MAVIS context: a predictive zonal minimum-variance linear quadratic Gaussian controller based on the frozen-flow hypothesis.

Original language	English
Publication status	Published - 2019
Event	6th International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2019 - Quebec City, Canada Duration: 9 Jun 2019 → 14 Jun 2019

Conference

Conference	6th International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2019
Country/Territory	Canada
City	Quebec City
Period	9/06/19 → 14/06/19

Cite this

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title = "Zonal multi-layer predictive control for multi-conjugate adaptive optics: Mavis simulations",

abstract = "MAVIS (MCAO-Assisted Visible Imager & Spectrograph) is a proposed instrument for ESO{\textquoteright}s VLT Adaptive Optics Facility. MAVIS aims at providing near-diffraction limited images across a 30” FoV. Predictive control allows an increased sky-coverage and is therefore attractive for use in the MAVIS application. This brief communication presents the problem statement, control law, estimation strategy, and simulations for one such scheme in the MAVIS context: a predictive zonal minimum-variance linear quadratic Gaussian controller based on the frozen-flow hypothesis.",

author = "Jesse Cranney and {De Dona}, Jose and Francois Rigaut and Visa Korkiakoski",

note = "Publisher Copyright: {\textcopyright} 2019 AO4ELT 2019 - Proceedings 6th Adaptive Optics for Extremely Large Telescopes. All rights reserved.; 6th International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2019 ; Conference date: 09-06-2019 Through 14-06-2019",

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language = "English",

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T1 - Zonal multi-layer predictive control for multi-conjugate adaptive optics

T2 - 6th International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2019

AU - Cranney, Jesse

AU - De Dona, Jose

AU - Rigaut, Francois

AU - Korkiakoski, Visa

PY - 2019

Y1 - 2019

N2 - MAVIS (MCAO-Assisted Visible Imager & Spectrograph) is a proposed instrument for ESO’s VLT Adaptive Optics Facility. MAVIS aims at providing near-diffraction limited images across a 30” FoV. Predictive control allows an increased sky-coverage and is therefore attractive for use in the MAVIS application. This brief communication presents the problem statement, control law, estimation strategy, and simulations for one such scheme in the MAVIS context: a predictive zonal minimum-variance linear quadratic Gaussian controller based on the frozen-flow hypothesis.

AB - MAVIS (MCAO-Assisted Visible Imager & Spectrograph) is a proposed instrument for ESO’s VLT Adaptive Optics Facility. MAVIS aims at providing near-diffraction limited images across a 30” FoV. Predictive control allows an increased sky-coverage and is therefore attractive for use in the MAVIS application. This brief communication presents the problem statement, control law, estimation strategy, and simulations for one such scheme in the MAVIS context: a predictive zonal minimum-variance linear quadratic Gaussian controller based on the frozen-flow hypothesis.

UR - http://www.scopus.com/inward/record.url?scp=85084945123&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85084945123

Y2 - 9 June 2019 through 14 June 2019

ER -

Zonal multi-layer predictive control for multi-conjugate adaptive optics: Mavis simulations

Abstract

Conference

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