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|Authors:||Juan Ignacio Videla: Telemark University College, Norway|
|Bernt Lie: Telemark University College, Norway|
|Publication title:||State/Parameter Estimation of a Small-scale CHP model|
|Conference:||The 48th Scandinavian Conference on Simulation and Modeling (SIMS 2007), 30-31 October, 2007, Göteborg (Särö)|
|Publication type:||Abstract and Fulltext|
|Abstract:||The state/parameter estimation problem is studied for a small-scale ICE CHP model. Three main groups of estimators with significant performance and com- plexity differences are analyzed: the Extended Kalman Filter (EKF) as an extension of the classical Kalman Filter, the generalized unscented Kalman filter (UKF) that uses the unscented transformation, and particle filtering like the particle filter with resampling (PFr) and the Ensemble Kalman Filter (EnKF)|
The internal combustion engine is modeled as a mean-value engine model connected with a static generator model and the heat recovery circuit is modeled with two lumped heat exchanger models, one for the coolant circuit and the other for the exhaust gases. The coolant circuit is connected with the engine through a lumped inner engine thermal model.
Experimental data sets are artificially generated to test the di¤erent estimators. Dynamic parameters of the mean-value engine model are identify when the CHP model is simulated in open loop. Additionally, relevant heat transfer coe¢ cients of the heat recovery circuit are monitored when the model is simulated in closed loop.
|No. of pages:||9|
|Series:||Linköping Electronic Conference Proceedings|
|Publisher:||Linköping University Electronic Press, Linköpings universitet|
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