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

doi:10.1109/MED48518.2020.9182853

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/Conference proceeding › Conference contribution

98 Downloads (Pure)

Abstract

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 language	English
Title of host publication	Proceedings of the 28th Mediterranean Conference on Control and Automation (MED'2020)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	978-1-7281-5742-9
ISBN (Print)	978-1-7281-5743-6
DOIs	https://doi.org/10.1109/MED48518.2020.9182853
Publication status	Published - 1 Sept 2020
Event	28th Mediterranean Conference on Control and Automation - Saint-Raphaël, France Duration: 15 Sept 2020 → 18 Sept 2020 http://med2020.cran.univ-lorraine.fr/index.html

Publication series

Name	Proceedings of the 2020 28th Mediterranean Conference on Control and Automation (MED)
Publisher	IEEE
ISSN (Print)	2325-369X
ISSN (Electronic)	2473-3504

Conference

Conference	28th Mediterranean Conference on Control and Automation
Abbreviated title	(MED'2020)
Country/Territory	France
City	Saint-Raphaël
Period	15/09/20 → 18/09/20
Internet address	http://med2020.cran.univ-lorraine.fr/index.html

Keywords

RCUK
EPSRC
EP/R021961/1
EP/R022062/1

Access to Document

10.1109/MED48518.2020.9182853

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Accepted author manuscript (Post-print), 714 KB

Fault Tolerant Control for Increased Safety and Security of Nuclear Power Plants
Becerra, V. (PI) & Bausch, N. (CoI)
Engineering and Physical Sciences Research Council
1/12/18 → 28/02/22
Project: Research

Cite this

Vajpayee, V., Becerra, V., Bausch, N., Banerjee, S., Deng, J., Shimjith, S. R., & Arul, A. J. (2020). Gain scheduled subspace predictive control of a pressurized water-type nuclear reactor. In Proceedings of the 28th Mediterranean Conference on Control and Automation (MED'2020) (Proceedings of the 2020 28th Mediterranean Conference on Control and Automation (MED)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MED48518.2020.9182853

Vajpayee, Vineet ; Becerra, Victor ; Bausch, Nils et al. / Gain scheduled subspace predictive control of a pressurized water-type nuclear reactor. Proceedings of the 28th Mediterranean Conference on Control and Automation (MED'2020). Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 28th Mediterranean Conference on Control and Automation (MED)).

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abstract = "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.",

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Vajpayee, V, Becerra, V, Bausch, N, Banerjee, S, Deng, J, Shimjith, SR & Arul, AJ 2020, Gain scheduled subspace predictive control of a pressurized water-type nuclear reactor. in Proceedings of the 28th Mediterranean Conference on Control and Automation (MED'2020). Proceedings of the 2020 28th Mediterranean Conference on Control and Automation (MED), Institute of Electrical and Electronics Engineers Inc., 28th Mediterranean Conference on Control and Automation, Saint-Raphaël, France, 15/09/20. https://doi.org/10.1109/MED48518.2020.9182853

Gain scheduled subspace predictive control of a pressurized water-type nuclear reactor. / Vajpayee, Vineet; Becerra, Victor; Bausch, Nils et al.
Proceedings of the 28th Mediterranean Conference on Control and Automation (MED'2020). Institute of Electrical and Electronics Engineers Inc., 2020. (Proceedings of the 2020 28th Mediterranean Conference on Control and Automation (MED)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Gain scheduled subspace predictive control of a pressurized water-type nuclear reactor

AU - Vajpayee, Vineet

AU - Becerra, Victor

AU - Bausch, Nils

AU - Banerjee, Shohan

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AU - Shimjith, S. R.

AU - Arul, A. John

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N2 - 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.

AB - 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.

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KW - EPSRC

KW - EP/R021961/1

KW - EP/R022062/1

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T3 - Proceedings of the 2020 28th Mediterranean Conference on Control and Automation (MED)

BT - Proceedings of the 28th Mediterranean Conference on Control and Automation (MED'2020)

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 15 September 2020 through 18 September 2020

ER -

Vajpayee V, Becerra V, Bausch N, Banerjee S, Deng J, Shimjith SR et al. Gain scheduled subspace predictive control of a pressurized water-type nuclear reactor. In Proceedings of the 28th Mediterranean Conference on Control and Automation (MED'2020). Institute of Electrical and Electronics Engineers Inc. 2020. (Proceedings of the 2020 28th Mediterranean Conference on Control and Automation (MED)). doi: 10.1109/MED48518.2020.9182853

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

Abstract

Publication series

Conference

Keywords

Access to Document

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Projects

Fault Tolerant Control for Increased Safety and Security of Nuclear Power Plants

Cite this