Wavelet-based model predictive control of PWR nuclear reactor using multi-scale subspace identification

Vineet Vajpayee; Victor Becerra; Nils Bausch; Jiamei Deng

doi:10.1007/978-3-030-85318-1_40

Wavelet-based model predictive control of PWR nuclear reactor using multi-scale subspace identification

Vineet Vajpayee, Victor Becerra, Nils Bausch, Jiamei Deng

Research output: Chapter in Book/Report/Published conference proceeding › Conference contribution › peer-review

Abstract

This work presents multi-scale model predictive control design scheme employing wavelet basis function. The proposed scheme is established upon multi-scale subspace identification technique. It is aimed to utilize the proficiency of wavelets in multi-scale data projection and the robustness of subspace identification during estimation in a model predictive control setup. The multi-scale state-space models estimated at different scales are used for output prediction and for designing predictive control strategy. The competence of the proposed approach is established for constrained load-following problem of a pressurized water-type nuclear reactor. In addition, the fault-tolerant capability of the control algorithm is also tested.

Original language	English
Title of host publication	15th European Workshop on Advanced Control and Diagnosis (ACD 2019)
Subtitle of host publication	Proceedings of the Workshop Held in Bologna, Italy, on November 21–22, 2019
Editors	Elena Zattoni, Silvio Simani, Giuseppe Conte
Place of Publication	Cham
Publisher	Springer
Pages	679-693
Number of pages	15
ISBN (Electronic)	978-3-030-85318-1
ISBN (Print)	978-3-030-85317-4
DOIs	https://doi.org/10.1007/978-3-030-85318-1_40
Publication status	Published - 21 Nov 2019
Externally published	Yes

Publication series

Name	Lecture Notes in Control and Information Sciences - Proceedings
ISSN (Print)	2522-5383
ISSN (Electronic)	2522-5391

Access to Document

10.1007/978-3-030-85318-1_40

Cite this

Vajpayee, V., Becerra, V., Bausch, N., & Deng, J. (2019). Wavelet-based model predictive control of PWR nuclear reactor using multi-scale subspace identification. In E. Zattoni, S. Simani, & G. Conte (Eds.), 15th European Workshop on Advanced Control and Diagnosis (ACD 2019): Proceedings of the Workshop Held in Bologna, Italy, on November 21–22, 2019 (pp. 679-693). (Lecture Notes in Control and Information Sciences - Proceedings). Springer. https://doi.org/10.1007/978-3-030-85318-1_40

Vajpayee, Vineet ; Becerra, Victor ; Bausch, Nils et al. / Wavelet-based model predictive control of PWR nuclear reactor using multi-scale subspace identification. 15th European Workshop on Advanced Control and Diagnosis (ACD 2019): Proceedings of the Workshop Held in Bologna, Italy, on November 21–22, 2019. editor / Elena Zattoni ; Silvio Simani ; Giuseppe Conte. Cham : Springer, 2019. pp. 679-693 (Lecture Notes in Control and Information Sciences - Proceedings).

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title = "Wavelet-based model predictive control of PWR nuclear reactor using multi-scale subspace identification",

abstract = "This work presents multi-scale model predictive control design scheme employing wavelet basis function. The proposed scheme is established upon multi-scale subspace identification technique. It is aimed to utilize the proficiency of wavelets in multi-scale data projection and the robustness of subspace identification during estimation in a model predictive control setup. The multi-scale state-space models estimated at different scales are used for output prediction and for designing predictive control strategy. The competence of the proposed approach is established for constrained load-following problem of a pressurized water-type nuclear reactor. In addition, the fault-tolerant capability of the control algorithm is also tested.",

author = "Vineet Vajpayee and Victor Becerra and Nils Bausch and Jiamei Deng",

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Vajpayee, V, Becerra, V, Bausch, N & Deng, J 2019, Wavelet-based model predictive control of PWR nuclear reactor using multi-scale subspace identification. in E Zattoni, S Simani & G Conte (eds), 15th European Workshop on Advanced Control and Diagnosis (ACD 2019): Proceedings of the Workshop Held in Bologna, Italy, on November 21–22, 2019. Lecture Notes in Control and Information Sciences - Proceedings, Springer, Cham, pp. 679-693. https://doi.org/10.1007/978-3-030-85318-1_40

Wavelet-based model predictive control of PWR nuclear reactor using multi-scale subspace identification. / Vajpayee, Vineet; Becerra, Victor; Bausch, Nils et al.
15th European Workshop on Advanced Control and Diagnosis (ACD 2019): Proceedings of the Workshop Held in Bologna, Italy, on November 21–22, 2019. ed. / Elena Zattoni; Silvio Simani; Giuseppe Conte. Cham: Springer, 2019. p. 679-693 (Lecture Notes in Control and Information Sciences - Proceedings).

Research output: Chapter in Book/Report/Published conference proceeding › Conference contribution › peer-review

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Vajpayee V, Becerra V, Bausch N, Deng J. Wavelet-based model predictive control of PWR nuclear reactor using multi-scale subspace identification. In Zattoni E, Simani S, Conte G, editors, 15th European Workshop on Advanced Control and Diagnosis (ACD 2019): Proceedings of the Workshop Held in Bologna, Italy, on November 21–22, 2019. Cham: Springer. 2019. p. 679-693. (Lecture Notes in Control and Information Sciences - Proceedings). doi: 10.1007/978-3-030-85318-1_40