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.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.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.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 |