Disturbance observer-based subspace predictive control of a pressurized water type nuclear reactor
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
This work presents a disturbance observer-based predictive control strategy using a subspace matrix structure. The aim is to improve the capability of classical predictive controllers in handling external disturbances. A subspace-based predictive controller is designed directly from measurements. Then, a disturbance observer is designed using subspace matrices to estimate the external disturbance. Both of the designs are integrated using a feed-forward plus feed-back strategy to form the proposed control strategy. The proposed scheme is tested with a simulated model of a pressurized water nuclear reactor. The effectiveness of the proposed technique is demonstrated for two different load-following operations. Further, a quantitative analysis is performed to analyse the control performance of the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 7th International Conference on Control, Decision and Information Technologies (CoDIT'2020) |
| Publisher | Institute of Electrical and Electronics Engineers |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-7281-5953-9, 978-1-7281-5952-2 |
| ISBN (Print) | 978-1-7281-5954-6 |
| DOIs | |
| Publication status | Published - 27 Nov 2020 |
| Event | 7th International Conference on Control, Decision and Information Technologies - Prague, Czech Republic Duration: 29 Jun 2020 → 2 Jul 2020 https://codit2020.com/index.php/ |
Publication series
| Name | IEEE CoDIT Proceedings Series |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2576-3547 |
| ISSN (Electronic) | 2576-3555 |
Conference
| Conference | 7th International Conference on Control, Decision and Information Technologies |
|---|---|
| Abbreviated title | CoDIT 2020 |
| Country | Czech Republic |
| City | Prague |
| Period | 29/06/20 → 2/07/20 |
| Internet address |
Documents
- CODIT_DO-SPC
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Accepted author manuscript (Post-print), 607 KB, PDF document
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