Vibration model identification using the maximum likelihood method

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

doi:10.1117/12.2314080

11 July 2018 Vibration model identification using the maximum likelihood method

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

Proceedings Volume 10703, Adaptive Optics Systems VI; 107036R (2018) https://doi.org/10.1117/12.2314080
Event: SPIE Astronomical Telescopes + Instrumentation, 2018, Austin, Texas, United States

Abstract

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.

Citation Download Citation

Pedro Escárate, María Coronel, Karen González, Rodrigo Carvajal, and Juan C. Agüero "Vibration model identification using the maximum likelihood method", Proc. SPIE 10703, Adaptive Optics Systems VI, 107036R (11 July 2018); https://doi.org/10.1117/12.2314080

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