Skip to content

Gain scheduled subspace predictive control of a pressurized water-type nuclear reactor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

This work presents a methodology for designing a 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 constraints 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 constrained load-following control problem of a non linear parameter-varying PWR nuclear reactor system.
Original languageEnglish
Title of host publicationProceedings of the 28th Mediterranean Conference on Control and Automation (MED'2020)
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-7281-5742-9
ISBN (Print)978-1-7281-5743-6
DOIs
Publication statusPublished - 1 Sep 2020
Event28th Mediterranean Conference on Control and Automation - Saint-Raphaël, France
Duration: 15 Sep 202018 Sep 2020
http://med2020.cran.univ-lorraine.fr/index.html

Publication series

NameProceedings of the 2020 28th Mediterranean Conference on Control and Automation (MED)
PublisherIEEE
ISSN (Print)2325-369X
ISSN (Electronic)2473-3504

Conference

Conference28th Mediterranean Conference on Control and Automation
Abbreviated title (MED'2020)
CountryFrance
CitySaint-Raphaël
Period15/09/2018/09/20
Internet address

Documents

  • GS_OL_SPC

    Rights statement: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    Accepted author manuscript (Post-print), 714 KB, PDF document

Related information

Relations Get citation (various referencing formats)

ID: 20566871