Constrained Multi-rate State Estimator Incorporating Delayed Measurements
S. Chandrakesa Shenoi1, S. Srinivasan2, M. Amrhein2, D. Bonvin2, S. Narasimhan1
1 Indian Institute of Technology Madras
2 EPFL Lausanne
Abstract
High frequency and accuracy of concentration estimates play an important role in the on-line optimization and control of chemical reaction systems. Such estimates can be obtained using state estimation methods that fuse frequent (fast) delay-free on-line measurements with infrequent (slow) delayed laboratory measurements. In this paper, we demonstrate how several recent advances made in state estimation can be combined in an on-line recursive state estimation framework by imposing knowledge-based and measurement-based constraints on the state estimates of multi-rate concentration measurements with time-varying time delays. This framework is illustrated using a simulated example for a bacterial batch fermentation of recombinant l.lactis. It is shown that an extent-based formulation gives more accurate estimates than a conventional concentration-based formulation.
Full paper
Session
Process Optimisation (Lecture)
Reference
Chandrakesa Shenoi, S.; Srinivasan, S.; Amrhein, M.; Bonvin, D.; Narasimhan, S.: Constrained Multi-rate State Estimator Incorporating Delayed Measurements. Editors: Fikar, M. and Kvasnica, M., In Proceedings of the 2017 21st International Conference on Process Control (PC), Štrbské Pleso, Slovakia, June 6 – 9, 358–363, 2017.
BibTeX
| @inProceedings{pc2017-097, | ||
| author | = { | Chandrakesa Shenoi, S. and Srinivasan, S. and Amrhein, M. and Bonvin, D. and Narasimhan, S.}, |
| title | = { | Constrained Multi-rate State Estimator Incorporating Delayed Measurements}, |
| booktitle | = { | Proceedings of the 2017 21st International Conference on Process Control (PC)}, |
| year | = { | 2017}, |
| pages | = { | 358-363}, |
| editor | = { | Fikar, M. and Kvasnica, M.}, |
| address | = { | \v{S}trbsk\'e Pleso, Slovakia}} |