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

Na, Man-Gyun (Chosun University, Department of Nuclear Engineering)
Jung, Dong-Won (Chosun University, Department of Nuclear Engineering)
Shin, Sun-Ho (Chosun University, Department of Nuclear Engineering)
Lee, Sun-Mi (Chosun University, Department of Nuclear Engineering)
Lee, Yoon-Joon (Cheju National University, Department of Nuclear and Energy Engineering)
Jang, Jin-Wook (Korean Atomic Energy Research Institute)
Lee, Ki-Bog (Korean Atomic Energy Research Institute)
Publication Information
Journal of Mechanical Science and Technology / v.18, no.12, 2004 , pp. 2080-2094 More about this Journal
Abstract
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.
Keywords
Nuclear Reactor Control; Model Predictive Control; Load-following Operation; Nuclear Power Level Control; Axial Shape Index (ASI) Control; Recursive Parameter Estimation;
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Times Cited By KSCI : 2  (Citation Analysis)
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