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Performance Evaluation of Research Reactors Under Different Predictive Controllers

  • Mina S. AndrawsEmail author
  • Asmaa A. Abd El-Hamid
  • Ahmed H. Yousef
  • Imbaby I. Mahmoud
  • Sherief A. Hammad
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 921)

Abstract

This paper is concerned with the evaluation of nuclear research reactor under two types of predictive controllers. The first one is Receding Horizon Predictive Controller (RHPC) which is considered a simple linear predictive controller. The other one is Neural Network Predictive Controller (NNPC) which is a type of nonlinear predictive controller. These controllers are applied over multi-point reactor core model. This model takes into consideration the nonlinearity of the reactor. It also takes into consideration some important physical phenomena like temperature effect, time variant fuel depletion and nonlinear xenon poisoning concentration. Simulation results showed the superiority of RHPC in both tracking and regulation.

Keywords

Neural Network Predictive Controller Receding Horizon Predictive Controller Nuclear research reactor 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Mina S. Andraws
    • 1
    • 2
    Email author
  • Asmaa A. Abd El-Hamid
    • 1
  • Ahmed H. Yousef
    • 2
    • 3
  • Imbaby I. Mahmoud
    • 1
  • Sherief A. Hammad
    • 2
  1. 1.Nuclear Research CenterEgyptian Atomic Energy AuthorityCairoEgypt
  2. 2.Computer and Systems DepartmentAin Shams UniversityCairoEgypt
  3. 3.Communication and Information TechnologyNile UniversityCairoEgypt

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