Characterization of Accelerometers Using Nonlinear Kalman Filters and Position Feedback

In this paper, we describe a method to test and characterize accelerometers using an accurate position sensor and nonlinear Kalman filters. The method is designed to estimate parameters in nonlinear accelerometers and could be a simpler alternative to methods using centrifuges or vibrational testing...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2007-12, Vol.56 (6), p.2698-2704
Main Authors: Stakkeland, M., Prytz, G., Booij, W.E., Pedersen, S.T.
Format: Article
Language:English
Subjects:
Acceleration
Acceleration measurement
Accelerometers
Computer simulation
Feedback
Filters
Gravity
inertial navigation
Instrumentation
Kalman filtering
Kalman filters
Micromechanical devices
Monte Carlo methods
nonlinear estimation
nonlinear filters
Nonlinearity
Parameter estimation
Position measurement
Sensor phenomena and characterization
Testing
Tracking
Vibrations
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Description
Summary:In this paper, we describe a method to test and characterize accelerometers using an accurate position sensor and nonlinear Kalman filters. The method is designed to estimate parameters in nonlinear accelerometers and could be a simpler alternative to methods using centrifuges or vibrational testing. The method makes it possible to do real-time parameter estimation. In addition, the method can be integrated into an inertial tracking or navigation system with sufficiently accurate position measurements. The estimation filters have been implemented and successfully tested using Monte Carlo simulations. An experimental setup has been built, and its functionality has been verified.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2007.908145