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 disturbances and measurement noise. The EIF is then used to produce an optimal estimate of the state and parameters of the heat exchanger. The results obtained by using EIF were compared to the results obtained using EKF and found that the estimation of dynamic nonlinear systems, is best carried out using the EIF rather than the EKF.
| Original language | English |
|---|---|
| Pages (from-to) | 9-20 |
| Number of pages | 12 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 3839 |
| Publication status | Published - Dec 1 1999 |
| Event | Proceedings of the 1999 Sensor Fusion and Decentralized Control in Robotic Systems II - Boston, MA, USA Duration: Sept 19 1999 → Sept 20 1999 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering