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Emotional learning based intelligent controller for a PWR nuclear reactor core during load following operation

Seidi Khorramabadi, S ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1016/j.anucene.2008.05.014
  3. Publisher: 2008
  4. Abstract:
  5. The design and evaluation of a novel approach to reactor core power control based on emotional learning is described. The controller includes a neuro-fuzzy system with power error and its derivative as inputs. A fuzzy critic evaluates the present situation, and provides the emotional signal (stress). The controller modifies its characteristics so that the critic's stress is reduced. Simulation results show that the controller has good convergence and performance robustness characteristics over a wide range of operational parameters. © 2008 Elsevier Ltd. All rights reserved
  6. Keywords:
  7. Control theory ; Fuzzy systems ; Molecular beam epitaxy ; Nuclear propulsion ; Nuclear reactors ; Pressurized water reactors ; Reactor cores ; Robust control ; Emotional learning ; Intelligent controller ; Load-following operation ; Neuro-fuzzy systems ; Operational parameters ; Performance robustness ; Power controlled ; Present situation ; Simulation results ; Fuzzy logic
  8. Source: Annals of Nuclear Energy ; Volume 35, Issue 11 , 2008 , Pages 2051-2058 ; 03064549 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/pii/S0306454908001588