Data-driven subspace predictive control of a nuclear reactor

Vineet Vajpayee*, Siddhartha Mukhopadhyay, Akhilanand Pati Tiwari

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This paper introduces a methodology of designing subspace predictive reactor core power control during load-following mode of operation. The central idea is to implement predictive control law directly from the preprocessed input-output data set without using any explicit process model. The controller is designed to include design constraints, feedforward control, and integral control action effectively. Furthermore, time variations in the process are taken into account by recursively updating control parameters with the arrival of new data set. The efficacy of the proposed technique is demonstrated for tracking various load rejection as well as load-following transients for a pressurized water nuclear reactor. A detailed parameter sensitivity analysis is carried out to analyze the controller performance.

Original languageEnglish
Pages (from-to)666-679
Number of pages14
JournalIEEE Transactions on Nuclear Science
Issue number2
Publication statusPublished - 1 Feb 2018
Externally publishedYes


  • Load-following operation
  • nuclear reactor
  • predictive control
  • pressurized water-type reactor (PWR)
  • subspace identification
  • wavelet filtering


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