Concentration distribution estimation of fluid through electrical impedance tomography based on interacting multiple model scheme

被引：12
|
作者：
Ijaz, Umer Zeeshan
Kim, Jeong-Hoon
Khambampati, Anil Kumar
Kim, Min-Chan
Kim, Sin
Kim, Kyung-Youn [1 ]
机构：
[1] Jeju Natl Univ, Dept Elect & Elect Engn, Cheju 690756, South Korea
[2] Jeju Natl Univ, Dept Chem Engn, Cheju 690756, South Korea
[3] Jeju Natl Univ, Dept Nucl & Energy Engn, Cheju 690756, South Korea
来源：
FLOW MEASUREMENT AND INSTRUMENTATION | 2007年 / 18卷 / 01期
关键词：
process tomography; electrical impedance tomography; interacting multiple models; Kalman filtering;
D O I：
10.1016/j.flowmeasinst.2006.12.005
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In this paper, a dynamic reconstruction algorithm is proposed to monitor the concentration distribution inside the fluid vessel based on electrical impedance tomography (EIT). The interacting multiple model (IMM) scheme is employed to enhance the performance of the extended Kalman filter (EKF) in the presence of abrupt measurement uncertainties by inclusion of covariance compensation extended Kalman filter (CCEKF). Computer simulations are also provided to evaluate the reconstruction performance of the proposed algorithm. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：47 / 56
页数：10
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