Optimized estimator for real-time dynamic displacement measurement using accelerometers
dc.contributor.author | Abir, Jonathan | |
dc.contributor.author | Longo, Stefano | |
dc.contributor.author | Morantz, Paul | |
dc.contributor.author | Shore, Paul | |
dc.date.accessioned | 2016-08-04T16:57:11Z | |
dc.date.available | 2016-08-04T16:57:11Z | |
dc.date.issued | 2016-07-30 | |
dc.description.abstract | This paper presents a method for optimizing the performance of a real-time, long term, and accurate accelerometer based displacement measurement technique, with no physical reference point. The technique was applied in a system for measuring machine frame displacement. The optimizer has three objectives with the aim to minimize phase delay, gain error and sensor noise. A multi-objective genetic algorithm was used to find Pareto optimal estimator parameters. The estimator is a combination of a high pass filter and a double integrator. In order to reduce the gain and phase errors two approaches have been used: zero placement and pole-zero placement. These approaches were analysed based on noise measurement at 0g-motion and compared. Only the pole-zero placement approach met the requirements for phase delay, gain error, and sensor noise. Two validation experiments were carried out with a Pareto optimal estimator. First, long term measurements at 0g-motion with the experimental setup were carried out, which showed displacement error of 27.6 ± 2.3 nm. Second, comparisons between the estimated and laser interferometer displacement measurements of the vibrating frame were conducted. The results showed a discrepancy lower than 2 dB at the required bandwidth. | en_UK |
dc.identifier.citation | Jonathan Abir, Stefano Longo, Paul Morantz, Paul Shore, Optimized estimator for real-time dynamic displacement measurement using accelerometers, Mechatronics, Volume 39, November 2016, Pages 1-11 | en_UK |
dc.identifier.issn | 0957-4158 | |
dc.identifier.uri | http://dx.doi.org/10.1016/j.mechatronics.2016.07.003. | |
dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/10228 | |
dc.language.iso | en | en_UK |
dc.publisher | Elsevier | en_UK |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Accelerometer | en_UK |
dc.subject | Displacement estimation | en_UK |
dc.subject | Flexible frame | en_UK |
dc.subject | Heave filter | en_UK |
dc.subject | Virtual metrology frame | en_UK |
dc.title | Optimized estimator for real-time dynamic displacement measurement using accelerometers | en_UK |
dc.type | Article | en_UK |
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