Fusion of state feedback, prediction, and fuzzy logic for power regulation in a research reactor

Jorge S. Benítez-Read, J. Humberto Pérez-Cruz, Da Ruan

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

A novel control scheme for power regulation in a research nuclear reactor has been developed. The scheme combines different techniques such as state variable feedback, first order numerical integration for estimation, and fuzzy logic to attain a stable power regulation in the reactor. The proposed control strategy attains, in short time and without overshoot, different values of steady-state power departing from a wide range of different values of initial power. The algorithm was subjected to exhaustive simulation tests and the results obtained are highly satisfactory.

Original languageEnglish
Pages (from-to)3847-3852
Number of pages6
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume4
StatePublished - 2005
Externally publishedYes
EventIEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics - Waikoloa, HI, United States
Duration: 10 Oct 200512 Oct 2005

Keywords

  • Closed-loop control
  • Fuzzy logic
  • Prediction
  • Research nuclear reactor
  • State feedback

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