Robust subspace predictive control based on integral sliding mode for a pressurized water reactor

Vineet Vajpayee, Victor Becerra, Nils Bausch, Shohan Banerjee, Jiamei Deng, S. R. Shimjith, A. John Arul

Research output: Chapter in Book/Report/Published conference proceedingConference contributionpeer-review

Abstract

This work combines the subspace predictive control technique with the integral sliding mode control strategy to formulate a novel robust subspace predictive control scheme. The subspace predictive controller provides the nominal control whereas the integral sliding mode controller gives the discontinuous control action. The aim is to improve the capability of subspace predictive controller in handling uncertainties and external disturbances. The proposed control scheme is evaluated with a simulated pressurized water nuclear reactor. The effectiveness of the proposed technique is demonstrated for two different load-following operations in the presence of uncertainties.
Original languageEnglish
Title of host publication2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)
PublisherIEEE
Pages7-12
Number of pages6
Volume1
DOIs
Publication statusPublished - 29 Jun 2020
Externally publishedYes
Event2020 7th International Conference on Control, Decision and Information Technologies (CoDIT) - Prague, Czech Republic
Duration: 29 Jun 20202 Jul 2020

Conference

Conference2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)
Country/TerritoryCzech Republic
CityPrague
Period29/06/202/07/20

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