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Power probability density function control and performance assessment of a nuclear research reactor

Authors
Journal
Annals of Nuclear Energy
0306-4549
Publisher
Elsevier
Volume
64
Identifiers
DOI: 10.1016/j.anucene.2013.09.018
Keywords
  • Probability Density Function (Pdf)
  • Performance Assessment
  • Nuclear Research Reactor
  • Stochastic Control
  • Pso
  • Reactor Control
Disciplines
  • Design

Abstract

Abstract One of the main issues in controlling a system is to keep track of the conditions of the system function. The performance condition of the system should be inspected continuously, to keep the system in reliable working condition. In this study, the nuclear reactor is considered as a complicated system and a principle of performance assessment is used for analyzing the performance of the power probability density function (PDF) of the nuclear research reactor control. First, the model of the power PDF is set up, then the controller is designed to make the power PDF for tracing the given shape, that make the reactor to be a closed-loop system. The operating data of the closed-loop reactor are used to assess the control performance with the performance assessment criteria. The modeling, controller design and the performance assessment of the power PDF are all applied to the control of Tehran Research Reactor (TRR) power in a nuclear process. In this paper, the performance assessment of the static PDF control system is discussed, the efficacy and efficiency of the proposed method are investigated, and finally its reliability is proven.

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