Identification and control of an experimental Adaptive Optics setup

Nicolas Soto-Munoz, Constantijn Langedijk, Pedro Escarate, Rodrigo Carvajal, Juan C. Aguero

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Adaptive optics have become the standard technique to compensate disturbances for ground based astronomy. Due to the demanding features of next generation telescopes, improved identification and control methods are required. In this paper we present the identification and control of an experimental adaptive optics system. The identification of the system's Tip and Tilt dynamics is performed using the Prediction Error Method. A spectral factorisation approach is used to identify the continuous time disturbance model for mechanical vibrations. Using the identified models, a pole placement method is used to design a controller that compensates for the disturbances. The performance of the designed controller was evaluated and compared with a traditional PI controller, showing an almost tenfold improvement on output variance with the proposed design.

Original languageEnglish
Title of host publicationIEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728131856
DOIs
StatePublished - Nov 2019
Externally publishedYes
Event2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019 - Valparaiso, Chile
Duration: 13 Nov 201927 Nov 2019

Publication series

NameIEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019

Conference

Conference2019 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019
Country/TerritoryChile
CityValparaiso
Period13/11/1927/11/19

Keywords

  • Adaptive Optics
  • Control
  • System Identification

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