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Design of a fault tolerated intelligent control system for load following operation in a nuclear power plant

Hatami, E ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1016/j.ijepes.2015.11.073
  3. Publisher: Elsevier Ltd
  4. Abstract:
  5. Fault detection has always an important role in maintaining the system stability and assuring satisfactory and safe operation. In this paper a method based on system identification is used for fault detection on a nuclear reactor. The combination of Extended Kalman Filter and recursive Least Square are used to identify the system parameters. Another goal of this paper is design of a fault tolerant control system for a nuclear reactor during power change operation. The proposed controller is an adaptive neuro-fuzzy controller based on emotional learning. Performance of the controller in term of transient response and robustness against failure is very good and outstanding
  6. Keywords:
  7. Control systems ; Controllers ; Extended Kalman filters ; Fault tolerance ; Kalman filters ; Nuclear energy ; Nuclear power plants ; Nuclear reactors ; System stability ; Adaptive neuro-fuzzy ; Change operations ; Emotional learning ; Fault tolerant control systems ; IS design ; Load-following operation ; Recursive Least Square (RLS) ; Safe operation ; Fault detection
  8. Source: International Journal of Electrical Power and Energy Systems ; Volume 78 , 2016 , Pages 864-872 ; 01420615 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0142061515005049