Vibration model identification using the maximum likelihood method

Pedro Escárate, María Coronel, Karen González, Rodrigo Carvajal, Juan C. Agüero

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

© 2018 SPIE. Vibration effects acting in the science light path reduce the performance of the adaptive optics systems (AO). In order to mitigate the vibration effects and to improve the performance of the AO systems, an adequate model for the vibration in necessary. Traditionally, those vibrations are modelled as oscillators (with or without damping) driven by white noise. In this work, we address the identification of a continuous-time oscillator from discrete-time samples of the position. To this end, we use Maximum Likelihood estimation method to estimate the vibrations frequency.
Original languageEnglish
DOIs
Publication statusPublished - 1 Jan 2018
EventProceedings of SPIE - The International Society for Optical Engineering -
Duration: 1 Jan 2018 → …

Conference

ConferenceProceedings of SPIE - The International Society for Optical Engineering
Period1/01/18 → …

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  • Cite this

    Escárate, P., Coronel, M., González, K., Carvajal, R., & Agüero, J. C. (2018). Vibration model identification using the maximum likelihood method. Paper presented at Proceedings of SPIE - The International Society for Optical Engineering, . https://doi.org/10.1117/12.2314080