Nuclear reactor power control using state feedback with fuzzy logic

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

doi:10.1007/978-3-540-71258-9_14

Nuclear reactor power control using state feedback with fuzzy logic

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

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Azcapotzalco

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Scopus citations

Abstract

A novel control scheme for power regulation in a research nuclear react or has been developed. The scheme combines different techniques such as state variable feedback, first order numerical integration for state gain 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 experimental results obtained are highly satisfactory.

Original language	English
Title of host publication	Fuzzy Logic
Subtitle of host publication	A Spectrum of Theoretical and Practical Issues
Editors	Paul Wang, Etienne Kerre, Da Ruan, Da Ruan
Pages	299-315
Number of pages	17
DOIs	https://doi.org/10.1007/978-3-540-71258-9_14
State	Published - 2007

Publication series

Name	Studies in Fuzziness and Soft Computing
Volume	215
ISSN (Print)	1434-9922

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10.1007/978-3-540-71258-9_14

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abstract = "A novel control scheme for power regulation in a research nuclear react or has been developed. The scheme combines different techniques such as state variable feedback, first order numerical integration for state gain 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 experimental results obtained are highly satisfactory.",

author = "Ben{\'i}tez-Read, {Jorge S.} and P{\'e}rez-Cruz, {J. Humberto} and Da Ruan",

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Nuclear reactor power control using state feedback with fuzzy logic. / Benítez-Read, Jorge S.; Pérez-Cruz, J. Humberto; Ruan, Da.
Fuzzy Logic: A Spectrum of Theoretical and Practical Issues. ed. / Paul Wang; Etienne Kerre; Da Ruan; Da Ruan. 2007. p. 299-315 (Studies in Fuzziness and Soft Computing; Vol. 215).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Nuclear reactor power control using state feedback with fuzzy logic

AU - Benítez-Read, Jorge S.

AU - Pérez-Cruz, J. Humberto

AU - Ruan, Da

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N2 - A novel control scheme for power regulation in a research nuclear react or has been developed. The scheme combines different techniques such as state variable feedback, first order numerical integration for state gain 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 experimental results obtained are highly satisfactory.

AB - A novel control scheme for power regulation in a research nuclear react or has been developed. The scheme combines different techniques such as state variable feedback, first order numerical integration for state gain 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 experimental results obtained are highly satisfactory.

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DO - 10.1007/978-3-540-71258-9_14

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SN - 3540712577

SN - 9783540712572

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ER -

Nuclear reactor power control using state feedback with fuzzy logic

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