State and parameter estimation in solenoid nonlinear equations

State and parameter estimation in solenoid nonlinear equations We propose a model‐based method that allows to estimate the magnetic force accurately, hence the armature displacement of linear solenoids. The nonlinear electrodynamical model of solenoids is used. The unscented Kalman filter is applied to analyze the current transient response, and the dynamics of the solenoid is estimated at each time instant. Furthermore, a new approach to estimate the varying internal solenoid reluctance, from the nonlinear model of solenoids, is proposed. The estimation is performed for each value of the current and predicted while the armature is moving. This leads to an accurate computation of the electromotive magnetic force related to the velocity of the moving actuator's component, thus permitting to know the system dynamics accurately. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Optimal Control Applications and Methods Wiley

State and parameter estimation in solenoid nonlinear equations

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Publisher
Wiley Subscription Services, Inc., A Wiley Company
Copyright
Copyright © 2018 John Wiley & Sons, Ltd.
ISSN
0143-2087
eISSN
1099-1514
D.O.I.
10.1002/oca.2378
Publisher site
See Article on Publisher Site

Abstract

We propose a model‐based method that allows to estimate the magnetic force accurately, hence the armature displacement of linear solenoids. The nonlinear electrodynamical model of solenoids is used. The unscented Kalman filter is applied to analyze the current transient response, and the dynamics of the solenoid is estimated at each time instant. Furthermore, a new approach to estimate the varying internal solenoid reluctance, from the nonlinear model of solenoids, is proposed. The estimation is performed for each value of the current and predicted while the armature is moving. This leads to an accurate computation of the electromotive magnetic force related to the velocity of the moving actuator's component, thus permitting to know the system dynamics accurately.

Journal

Optimal Control Applications and MethodsWiley

Published: Jan 1, 2018

Keywords: ; ; ;

References

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