Conference paper · Journal article
Comparison of Linear and Nonlinear Model Predictive Control for Optimization of Spray Dryer Operation
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Department of Electrical Engineering, Technical University of Denmark4
Automation and Control, Department of Electrical Engineering, Technical University of Denmark5
GEA Process Engineering A/S6
Center for Energy Resources Engineering, Centers, Technical University of Denmark7
In this paper, we compare the performance of an economically optimizing Nonlinear Model Predictive Controller (E-NMPC) to a linear tracking Model Predictive Controller (MPC) for a spray drying plant. We find in this simulation study, that the economic performance of the two controllers are almost equal.
We evaluate the economic performance with an industrially recorded disturbance scenario, where unmeasured disturbances and model mismatch are present. The state of the spray dryer, used in the E-NMPC and MPC, is estimated using Kalman Filters with noise covariances estimated by a maximum likelihood (ML) method.
| Language: | English |
|---|---|
| Publisher: | International Federation of Automatic Control |
| Year: | 2015 |
| Pages: | 218-223 |
| Proceedings: | 5th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2015) |
| ISSN: | 24058971 and 24058963 |
| Types: | Conference paper and Journal article |
| DOI: | 10.1016/j.ifacol.2015.11.286 |
| ORCIDs: | Poulsen, Niels Kjølstad , Niemann, Hans Henrik and Jørgensen, John Bagterp |
