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Unscented Kalman filter approach to tracking a moving interfacial boundary in sedimentation processes using three-dimensional electrical impedance tomography


Reference:

Khambampati, A., Rashid, A., Ijaz, U., Kim, S., Soleimani, M. and Kim, K., 2009. Unscented Kalman filter approach to tracking a moving interfacial boundary in sedimentation processes using three-dimensional electrical impedance tomography. Philosophical Transactions of the Royal Society A - Mathematical Physical and Engineering Sciences, 367 (1900), pp. 3095-3120.

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Official URL:

http://dx.doi.org/10.1098/rsta.2009.0081

Abstract

The monitoring of solid–fluid suspensions under the influence of gravity is widely used in industrial processes. By considering sedimentation layers with different electrical properties, non-invasive methods such as electrical impedance tomography (EIT) can be used to estimate the settling curves and velocities. In recent EIT studies, the problem of estimating the locations of phase interfaces and phase conductivities has been treated as a nonlinear state estimation problem and the extended Kalman filter (EKF) has been successfully applied. However, the EKF is based on a Gaussian assumption and requires a linearized measurement model. The linearization (or derivation of the Jacobian) is possible when there are no discontinuities in the system. Furthermore, having a complex phase interface representation makes derivation of the Jacobian a tedious task. Therefore, in this paper, we explore the unscented Kalman filter (UKF) as an alternative approach for estimating phase interfaces and conductivities in sedimentation processes. The UKF uses a nonlinear measurement model and is therefore more accurate. In order to justify the proposed approach, extensive numerical experiments have been performed and a comparative analysis with the EKF is provided.

Details

Item Type Articles
CreatorsKhambampati, A., Rashid, A., Ijaz, U., Kim, S., Soleimani, M. and Kim, K.
DOI10.1098/rsta.2009.0081
DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
RefereedYes
StatusPublished
ID Code12899

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