Shadi Attar
Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway, Norway
Finn Aakre Haugen
Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway, Norway
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http://dx.doi.org/10.3384/ecp18153118Ingår i: Proceedings of The 59th Conference on Simulation and Modelling (SIMS 59), 26-28 September 2018, Oslo Metropolitan University, Norway
Linköping Electronic Conference Proceedings 153:17, s. 118-125
Publicerad: 2018-11-19
ISBN: 978-91-7685-494-5
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
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.
Anaerobic digestion, state estimation, Kalman filter, particle filter, moving horizon estimator, simulation
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