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

Vineet Vajpayee*, Victor Becerra, Nils Bausch, Jiamei Deng

*Corresponding author for this work

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

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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 set-up. 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 languageEnglish
Title of host publication15th European Workshop on Advanced Control and Diagnosis, ACD 2019
EditorsE. Zattoni, S. Simani, G. Conte
PublisherSpringer
Pages679–693
Number of pages15
ISBN (Electronic)9783030853181
ISBN (Print)9783030853174
DOIs
Publication statusPublished - 14 Jun 2022
Event15th European Workshop on Advanced Control and Diagnosis - Bologna, Italy
Duration: 21 Nov 201922 Nov 2019

Publication series

NameLecture Notes in Control and Information Sciences
PublisherSpringer
ISSN (Print)0170-8643
ISSN (Electronic)2522-5383

Workshop

Workshop15th European Workshop on Advanced Control and Diagnosis
Abbreviated titleACD 2019
Country/TerritoryItaly
CityBologna
Period21/11/1922/11/19

Keywords

  • MPC
  • multi-resolution
  • nuclear reactor
  • PWR
  • subspace identification
  • wavelet

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