Learning from history: adaptive calibration of 'tilting spine' fiber positioners

This paper discusses a new approach for determining the calibration parameters of independently-actuated optical fibers in multi-object astronomical fiber positioning systems. This work comes from the development of a new type of piezoelectric motor intended to enhance the ‘tilting spine' fiber...

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Main Authors: Gilbert, J, Dalton, G
Format: Conference item
Language:English
Published: Astronomical Society of the Pacific 2017
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author Gilbert, J
Dalton, G
author_facet Gilbert, J
Dalton, G
author_sort Gilbert, J
collection OXFORD
description This paper discusses a new approach for determining the calibration parameters of independently-actuated optical fibers in multi-object astronomical fiber positioning systems. This work comes from the development of a new type of piezoelectric motor intended to enhance the ‘tilting spine' fiber positioning technology originally created by the Australian Astronomical Observatory. Testing has shown that the motor's performance can vary depending on the fiber's location within its accessible field, meaning that an individual fiber is difficult to calibrate with a one-time routine. Better performance has resulted from constantly updating calibration parameters based on the observed movements of the fiber during normal closed-loop positioning. Over time, location-specific historical data is amassed that can be used to better predict the results of a future fiber movement. This is similar to a technique previously proposed by the Australian Astronomical Observatory, but with the addition of location-specific learning. Results from a prototype system are presented, showing a significant reduction in overall positioning error when using this new approach.
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spelling oxford-uuid:d91991b4-86b2-4847-baec-5a0cf002dd0a2022-03-27T08:53:26ZLearning from history: adaptive calibration of 'tilting spine' fiber positionersConference itemhttp://purl.org/coar/resource_type/c_5794uuid:d91991b4-86b2-4847-baec-5a0cf002dd0aEnglishSymplectic ElementsAstronomical Society of the Pacific2017Gilbert, JDalton, GThis paper discusses a new approach for determining the calibration parameters of independently-actuated optical fibers in multi-object astronomical fiber positioning systems. This work comes from the development of a new type of piezoelectric motor intended to enhance the ‘tilting spine' fiber positioning technology originally created by the Australian Astronomical Observatory. Testing has shown that the motor's performance can vary depending on the fiber's location within its accessible field, meaning that an individual fiber is difficult to calibrate with a one-time routine. Better performance has resulted from constantly updating calibration parameters based on the observed movements of the fiber during normal closed-loop positioning. Over time, location-specific historical data is amassed that can be used to better predict the results of a future fiber movement. This is similar to a technique previously proposed by the Australian Astronomical Observatory, but with the addition of location-specific learning. Results from a prototype system are presented, showing a significant reduction in overall positioning error when using this new approach.
spellingShingle Gilbert, J
Dalton, G
Learning from history: adaptive calibration of 'tilting spine' fiber positioners
title Learning from history: adaptive calibration of 'tilting spine' fiber positioners
title_full Learning from history: adaptive calibration of 'tilting spine' fiber positioners
title_fullStr Learning from history: adaptive calibration of 'tilting spine' fiber positioners
title_full_unstemmed Learning from history: adaptive calibration of 'tilting spine' fiber positioners
title_short Learning from history: adaptive calibration of 'tilting spine' fiber positioners
title_sort learning from history adaptive calibration of tilting spine fiber positioners
work_keys_str_mv AT gilbertj learningfromhistoryadaptivecalibrationoftiltingspinefiberpositioners
AT daltong learningfromhistoryadaptivecalibrationoftiltingspinefiberpositioners