Impact Solenoid Modeling for Current-Dependent Piston Position Estimation

Impact solenoids create wide-band acoustic signals in the materials they hit, which can be used to measure physical properties, geometry, and distances. Heuristic signal approximations are insufficient at smaller timescales, or when the impactor bounces. We seek a way to estimate the impact profile, and therefore piston position, from the current passing through the solenoid. Existing models focus on position control applications, and so make assumptions such as low piston velocity and pulse-width modulation excitation. We present a physically-derived solenoid model which includes the effects of piston velocity, and thus is suitable for impact applications with a step excitation. The associated differential equation is solved to determine the location of the piston, giving an impact model relating the piston position to a measured solenoid current via dead reckoning. These models are assessed by firing impact solenoids at a target and recording the drawn current and supply voltage. The position estimates each model produces are compared against ground truth readings taken from a laser vibrometer for each individual firing, both for fitting and validation replicates. The validation RMS position error of the models is less than 3 % of the piston stroke over full impact durations.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2025-10-23
DOI
https://doi.org/10.1109/jsen.2025.3622631
Citations
1
Primary Topic
Tribology and Lubrication Engineering
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact Solenoid Modeling for Current-Dependent Piston Position Estimation

Michael Hayes, Le Yang, S.P. Spekreijse
1 citations
IEEE Sensors Journal
Tribology and Lubrication Engineering
0.71
article

Impact Solenoid Modeling for Current-Dependent Piston Position Estimation

Michael Hayes, Le Yang, S.P. Spekreijse
article en
1 citations

Abstract

Impact solenoids create wide-band acoustic signals in the materials they hit, which can be used to measure physical properties, geometry, and distances. Heuristic signal approximations are insufficient at smaller timescales, or when the impactor bounces. We seek a way to estimate the impact profile, and therefore piston position, from the current passing through the solenoid. Existing models focus on position control applications, and so make assumptions such as low piston velocity and pulse-width modulation excitation. We present a physically-derived solenoid model which includes the effects of piston velocity, and thus is suitable for impact applications with a step excitation. The associated differential equation is solved to determine the location of the piston, giving an impact model relating the piston position to a measured solenoid current via dead reckoning. These models are assessed by firing impact solenoids at a target and recording the drawn current and supply voltage. The position estimates each model produces are compared against ground truth readings taken from a laser vibrometer for each individual firing, both for fitting and validation replicates. The validation RMS position error of the models is less than 3 % of the piston stroke over full impact durations.

IEEE Sensors JournalVol. 25(24)
University of Canterbury (NZ)
Openalex Percentile: Top 26%
Tribology and Lubrication Engineering
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Impact Solenoid Modeling for Current-Dependent Piston Position Estimation — Michael Hayes, Le Yang, et al. · IEEE Sensors Journal (2025) | TGRS Research Map | TGRS