Conference paper
Adaptive Disturbance Estimation for Offset-Free SISO Model Predictive Control
Computer Aided Process Engineering Center, Department of Chemical and Biochemical Engineering, Technical University of Denmark1
Department of Chemical and Biochemical Engineering, Technical University of Denmark2
Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark3
Department of Informatics and Mathematical Modeling, Technical University of Denmark4
Scientific Computing, Department of Informatics and Mathematical Modeling, Technical University of Denmark5
Center for Energy Resources Engineering, Centers, Technical University of Denmark6
Offset free tracking in Model Predictive Control requires estimation of unmeasured disturbances or the inclusion of an integrator. An algorithm for estimation of an unknown disturbance based on adaptive estimation with time varying forgetting is introduced and benchmarked against the classical disturbance modelling approach, where the system description is augmented by a disturbance state.
The time varying forgetting renders the new approach less sensitive to the nature of the disturbance. By simulation we demonstrate that this algorithm is advantageous in case of infrequent step disturbances of any magnitude.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2011 |
| Pages: | 2417-2422 |
| Proceedings: | 2011 American Control Conference |
| Series: | American Control Conference |
| ISBN: | 1457700794 , 1457700808 , 1457700816 , 9781457700798 , 9781457700804 and 9781457700811 |
| ISSN: | 23785861 and 07431619 |
| Types: | Conference paper |
| DOI: | 10.1109/ACC.2011.5990909 |
| ORCIDs: | Huusom, Jakob Kjøbsted , Poulsen, Niels Kjølstad , Jørgensen, Sten Bay and Jørgensen, John Bagterp |
