Use of a Kalman Filter to Improve the Estimation of ATD Response During Impact 1999-01-0707
A new approach for improving estimates of the kinematic response of ATDs (anthropomorphic test devices) to vehicle crash events has been developed. This approach employs the Kalman Filter; a state model based estimation approach that has been widely applied to system dynamics problems ranging from navigation to missile guidance. The Kalman Filter approach combines measurements of crash event phenomena (acceleration and displacement), kinematic models of ATD behavior and statistics of sensor noise to create precise estimates of ATD motion during a crash. This paper presents an implementation of a state model and Kalman Filter for a sensor data collected from the chest of an ATD during an out-of-position airbag deployment test. Favorable comparisons are made between the Kalman Filter model approach and traditional methods involving numerical integration and differentiation.
Citation: Nusholtz, G., Cattani, L., and Eagle, P., "Use of a Kalman Filter to Improve the Estimation of ATD Response During Impact," SAE Technical Paper 1999-01-0707, 1999, https://doi.org/10.4271/1999-01-0707. Download Citation
Author(s):
Guy S. Nusholtz, Luis C. Cattani, Paul J. Eagle
Affiliated:
DaimlerChrysler Corporation, University of Detroit Mercy
Pages: 8
Event:
International Congress & Exposition
ISSN:
0148-7191
e-ISSN:
2688-3627
Also in:
Occupant Protection-SP-1432, SAE 1999 Transactions - Journal of Passenger Cars-V108-6
Related Topics:
Anthropometric test devices
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