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

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

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Páginas (desde-hasta)	3847-3852
Número de páginas	6
Publicación	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volumen	4
Estado	Publicada - 2005
Publicado de forma externa	Sí
Evento	IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics - Waikoloa, HI, Estados Unidos Duración: 10 oct. 2005 → 12 oct. 2005

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

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.",

keywords = "Closed-loop control, Fuzzy logic, Prediction, Research nuclear reactor, State feedback",

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

year = "2005",

language = "Ingl{\'e}s",

volume = "4",

pages = "3847--3852",

journal = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

issn = "1062-922X",

note = "IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics ; Conference date: 10-10-2005 Through 12-10-2005",

}

Fusion of state feedback, prediction, and fuzzy logic for power regulation in a research reactor. / Benítez-Read, Jorge S.; Pérez-Cruz, J. Humberto; Ruan, Da.
En: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, Vol. 4, 2005, p. 3847-3852.

Producción científica: Contribución a una revista › Artículo de la conferencia › revisión exhaustiva

TY - JOUR

T1 - Fusion of state feedback, prediction, and fuzzy logic for power regulation in a research reactor

AU - Benítez-Read, Jorge S.

AU - Pérez-Cruz, J. Humberto

AU - Ruan, Da

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Closed-loop control

KW - Fuzzy logic

KW - Prediction

KW - Research nuclear reactor

KW - State feedback

UR - http://www.scopus.com/inward/record.url?scp=27944496869&partnerID=8YFLogxK

M3 - Artículo de la conferencia

AN - SCOPUS:27944496869

SN - 1062-922X

VL - 4

SP - 3847

EP - 3852

JO - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

JF - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

T2 - IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics

Y2 - 10 October 2005 through 12 October 2005

ER -

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

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