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Proceedings Paper

System identification for a lumped heat exchanger using the extended information filter
Author(s): Marwan S.Y. Al-Haik; Yousef S. Haik
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Paper Abstract

In this study a new Extended Information Filter (EIF) algorithm is applied to compute the heat transfer parameters for lumped heat exchanger. Many industrial applications depend on the prediction of the heat exchanger parameters. This algorithm produces an accurate prediction of the operating states and parameters. A state variable model is derived from the empirical correlation of the lumped heat exchanger. The derived system is nonlinear and stochastic. The problem of estimating the state variables and parameters is considered in the presence of random disturbance and measurement noise. The EIF is then used to produce an optimal estimate of the state and parameters of the heat exchanger. The result obtained by using EIF were compared to the results obtained by using EIF were compared to the result obtained using EKF and found that the estimation of dynamic nonlinear systems, is best carried out using the EIF rather than the EKF.

Paper Details

Date Published: 26 August 1999
PDF: 12 pages
Proc. SPIE 3839, Sensor Fusion and Decentralized Control in Robotic Systems II, (26 August 1999); doi: 10.1117/12.360337
Show Author Affiliations
Marwan S.Y. Al-Haik, Florida A&M Univ.-Florida State Univ. (United States)
Yousef S. Haik, Florida A&M Univ.-Florida State Univ. (United States)


Published in SPIE Proceedings Vol. 3839:
Sensor Fusion and Decentralized Control in Robotic Systems II
Gerard T. McKee; Paul S. Schenker, Editor(s)

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