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Lagrangian Point State Estimation with Optimized, Redundant Induction Coil Gauges.
- Source :
-
Experimental Mechanics . Jul2013, Vol. 53 Issue 6, p1065-1072. 8p. - Publication Year :
- 2013
-
Abstract
- This research effort studies the use of redundant induction coil gauges to reduce state estimation uncertainties for moving Lagrangian points (LPs); e.g. discrete points, moving interfaces, projectiles, etc. The technique embeds a small, high-strength magnet at the LP and simultaneously tracks the magnet continuously with five (5) or more induction coils along a single axis of motion. A calibrated coil gauge model is presented as a function of LP position and velocity. The optimized LP state (position and velocity) estimate based upon redundant LP observations allows direct solution for LP velocity; requiring only one differentiation step to obtain acceleration. A specific experimental implementation (Particulate Materials Meso-scale Diagnostics system) is simulated to evaluate and minimize the expected state estimation errors. Induction coil signals with various levels of noise are simulated based upon a prescribed LP state variation with time. The state optimization algorithm attempts to recover the truth state values. Worst-case position estimation errors of ±0.3 mm and velocity estimation errors of ±0.46 m/s are determined for LPs travelling 0-1,000 m/s at realistic in-lab data noise levels. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00144851
- Volume :
- 53
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Experimental Mechanics
- Publication Type :
- Academic Journal
- Accession number :
- 88155067
- Full Text :
- https://doi.org/10.1007/s11340-013-9714-9