2012
DOI: 10.5516/net.04.2012.509
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Design of a Load Following Controller for Apr+ Nuclear Plants

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Cited by 6 publications
(2 citation statements)
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“…• The relative power is controlled to its set-point, while the AO is demanded to be in a prescribed (typically, 5%) vicinity of its setpoint (Sipush et al, 1976;Meyer et al, 1978;Onoue et al, 2003;Boroushaki et al, 2004;Zhang et al, 2015). AO control may be turned off while the AO value is within the allowed interval (Lee et al, 2012). Optimization-based approaches may consider the allowed interval as a constraint in an optimization problem (Eliasi et al, 2011).…”
Section: Control Strategiesmentioning
confidence: 99%
See 1 more Smart Citation
“…• The relative power is controlled to its set-point, while the AO is demanded to be in a prescribed (typically, 5%) vicinity of its setpoint (Sipush et al, 1976;Meyer et al, 1978;Onoue et al, 2003;Boroushaki et al, 2004;Zhang et al, 2015). AO control may be turned off while the AO value is within the allowed interval (Lee et al, 2012). Optimization-based approaches may consider the allowed interval as a constraint in an optimization problem (Eliasi et al, 2011).…”
Section: Control Strategiesmentioning
confidence: 99%
“…The control scheme also makes use of boric acid concentration adjustment, automatically related to the power control rod movement, but does not exceed the boric acid treatment capacity. Lee et al (2012) further extends the MPC approach with a support vector regression (SVR) model to predict the future outputs based on previous inputs and outputs. SVR modelling is a machine learning approach that searches for the network weights of an artificial neural network with a kernel function by solving a non-convex unconstrained minimization problem.…”
Section: Linear Receding Horizon Control/model Predictive Controlmentioning
confidence: 99%