Design of a Nuclear Reactor Controller Using a Model Predictive Control Method

A model predictive controller is designed to control thermal power in a nuclear reactor. The basic concept of the model predictive control is to solve an optimization problem for finite future time steps at current time, to implement only the first optimal control input among the solved control inpu...

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Bibliographic Details
Published in:Journal of mechanical science and technology 2004-12, Vol.18 (12), p.2080-2094
Main Authors: Jung, Dong Won, Shin, Sun Ho, Lee, Sun Mi, Lee, Yoon Joon, Jang, Jin Wook, Lee, Ki Bog
Format: Article
Language:English
Subjects:
Algorithms
Control methods
Control systems design
Controllers
Design engineering
Dimensional analysis
Mathematical analysis
Mathematical models
Nuclear energy
Nuclear power generation
Nuclear reactors
Optimal control
Optimization
Parameter estimation
Predictive control
Studies
Thermoelectricity
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Summary:A model predictive controller is designed to control thermal power in a nuclear reactor. The basic concept of the model predictive control is to solve an optimization problem for finite future time steps at current time, to implement only the first optimal control input among the solved control inputs, and to repeat the procedure at each subsequent instant. A controller design model used for designing the model predictive controller is estimated every time step by applying a recursive parameter estimation algorithm. A 3-dimensional nuclear reactor analysis code, MASTER that was developed by Korea Atomic Energy Research Institute (KAERI), was used to verify the proposed controller for a nuclear reactor. It was known that the nuclear power controlled by the proposed controller well tracks the desired power level and the desired axial power distribution.
ISSN:1738-494X
1226-4865
1976-3824
DOI:10.1007/BF02990213