Gain scheduled subspace predictive control of a pressurized water-type nuclear 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 presents a methodology for designing subspace-based gain scheduled predictive controller for nuclear reactor power control. The main idea is to design a family of predictive controllers directly from measurements and integrate them without employing any explicit process model. The developed controller incorporates the robustness feature of subspace identification with the adaptive capability of gain scheduling in a predictive control set-up. The controller is designed to handle process variations effectively. The efficacy of the proposed controller is demonstrated for load-following transients using a simulated model of a PWR-type nuclear reactor. Simulation results show that the proposed strategy is effective in addressing the load-following control problem of a non-linear parameter-varying PWR nuclear reactor system.
Original languageEnglish
Title of host publication2020 28th Mediterranean Conference on Control and Automation (MED)
PublisherIEEE
Pages91-96
Number of pages6
DOIs
Publication statusPublished - 1 Sept 2020
Externally publishedYes
Event28th Mediterranean Conference on Control and Automation (MED) -
Duration: 15 Sept 202018 Sept 2020

Conference

Conference28th Mediterranean Conference on Control and Automation (MED)
Abbreviated titleMED 2020
Period15/09/2018/09/20

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