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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.
|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|
|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
|Name||IEEE CoDIT Proceedings Series|
|Conference||7th International Conference on Control, Decision and Information Technologies|
|Abbreviated title||CoDIT 2020|
|Period||29/06/20 → 2/07/20|
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