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 conferencePaperResearch

2 Citations (Scopus)

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. © 2005 IEEE.
Original languageAmerican English
Pages3847-3852
Number of pages6
StatePublished - 30 Nov 2005
Externally publishedYes
EventConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics -
Duration: 30 Nov 2005 → …

Conference

ConferenceConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Period30/11/05 → …

Fingerprint

Research reactors
State feedback
Fuzzy logic
Fusion reactions
Nuclear reactors
Feedback

Cite this

Benítez-Read, J. S., Pérez-Cruz, J. H., & Ruan, D. (2005). Fusion of state feedback, prediction, and fuzzy logic for power regulation in a research reactor. 3847-3852. Paper presented at Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, .
Benítez-Read, Jorge S. ; Pérez-Cruz, J. Humberto ; Ruan, Da. / Fusion of state feedback, prediction, and fuzzy logic for power regulation in a research reactor. Paper presented at Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, .6 p.
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Benítez-Read, JS, Pérez-Cruz, JH & Ruan, D 2005, 'Fusion of state feedback, prediction, and fuzzy logic for power regulation in a research reactor' Paper presented at Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 30/11/05, pp. 3847-3852.

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.

2005. 3847-3852 Paper presented at Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, .

Research output: Contribution to conferencePaperResearch

TY - CONF

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

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AU - Pérez-Cruz, J. Humberto

AU - Ruan, Da

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Y1 - 2005/11/30

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. © 2005 IEEE.

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. © 2005 IEEE.

M3 - Paper

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Benítez-Read JS, Pérez-Cruz JH, Ruan D. Fusion of state feedback, prediction, and fuzzy logic for power regulation in a research reactor. 2005. Paper presented at Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, .