Comparison of different state estimator algorithms applied to a simulated anaerobic digestion reactor
Journal article, Peer reviewed
Published version
Permanent lenke
http://hdl.handle.net/11250/2581943Utgivelsesdato
2018Metadata
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Originalversjon
Linköping Electronic Conference Proceedings. 2018, (153), 118-125. 10.3384/ecp18153118Sammendrag
This study deals with a simulator-based comparison of different state estimators of an anaerobic digestion process. A simulated biogas reactor based on the AM2 model is considered. Extended Kalman Filter, Unscented Kalman Filter, Particle Filter and Moving Horizon Estimator are four state estimators studied. The investigation is on both states and parameters estimation. The maximum number of parameters can be estimated equals the number of the measurement. Comparison of different state estimator algorithms applied to a simulated anaerobic digestion reactor