University of Twente Student Theses
Parameter Estimation using the Extended Kalman Filter for the ALIA Density Meter
Marissen, Jasper (2021) Parameter Estimation using the Extended Kalman Filter for the ALIA Density Meter.
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| Full Text Status: | Access to this publication is restricted |
| Embargo date: | 1 May 2025 |
| Abstract: | The ALIA Density Meter (ADM) uses a parameter estimation algorithm to estimate the density of a slurry inside a tube. The Extended Kalman Filter is used as a real-time estimation algorithm as an alternative to the frequency domain estimation techniques used previously, which suffered from bias due to high noise levels. The Extended Kalman Filter is applied to simulated data to test the algorithm for bias and adaptability to changes in density. The algorithm is then applied to real data from an ADM to test its use in the field. |
| Item Type: | Essay (Master) |
| Clients: | Demcon, Enschede, Netherlands |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 31 mathematics |
| Programme: | Applied Mathematics MSc (60348) |
| Link to this item: | https://purl.utwente.nl/essays/90817 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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