Fractional-Order Identification of Gyroscope MEMS Noise Under Various Temperature Conditions

Dominik Sierociuk, Michal Macias, Konrad Andrzej Markowski, Massimo Piotto · 2024

Read Fractional-Order Identification of Gyroscope MEMS Noise Under Various Temperature Conditions by Dominik Sierociuk, Michal Macias, Konrad Andrzej Markowski, Massimo Piotto (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11644677.txt.

Description

Dominik Sierociuk and co-authors wrote in 2024 about noise in small gyroscope sensors and how heat changes that noise. Such sensors measure spin and are used in guidance tools, where stray noise can spoil a reading. The team placed a sensor in a climate chamber and recorded data at set heat levels.

They fit a fractional-order model to the data, using spread, links over time, and a new way to estimate the model values. Their aim was to see if the noise pattern shifts as the air around the sensor warms or cools. Readers get a careful test case for a sensor built for a guided head project. The results can help engineers correct readings when heat cannot be held steady in use.

Catalog record

CREATORDominik Sierociuk, Michal Macias, Konrad Andrzej Markowski, Massimo Piotto
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE35 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11644677

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