TY - JOUR
T1 - Control of nuclear research reactors based on a generalized hopfield neural network
AU - Pérez-Cruz, J. Humberto
AU - Poznyak, Alexander
PY - 2010/1
Y1 - 2010/1
N2 - The purpose of this paper is to present a solution to the minimization problem of the transient time to accomplish the switching between different levels of power in a nucleaz reseazch reactor satisfying the inverse period constraint and avoiding to use any physical model of the plant. The strategy here proposed consists of two stages: fast, the optimal trajectory which satisfies the constraint is calculated off-line; second, a control law based on a generalized Hopfield neural network is employed to assure that the reactor power follows this optimal trajectory. The boundedness for both the weights and the identification error is guaranteed by a new online learning law. Likewise, proposed control law guarantees an upper bound for the tracking error. The effectiveness of this procedure is illustrated by numeric simulation.
AB - The purpose of this paper is to present a solution to the minimization problem of the transient time to accomplish the switching between different levels of power in a nucleaz reseazch reactor satisfying the inverse period constraint and avoiding to use any physical model of the plant. The strategy here proposed consists of two stages: fast, the optimal trajectory which satisfies the constraint is calculated off-line; second, a control law based on a generalized Hopfield neural network is employed to assure that the reactor power follows this optimal trajectory. The boundedness for both the weights and the identification error is guaranteed by a new online learning law. Likewise, proposed control law guarantees an upper bound for the tracking error. The effectiveness of this procedure is illustrated by numeric simulation.
KW - Hopfield neural network
KW - Model-free control
KW - Nuclear research reactor
UR - http://www.scopus.com/inward/record.url?scp=75349102205&partnerID=8YFLogxK
U2 - 10.1080/10798587.2010.10643062
DO - 10.1080/10798587.2010.10643062
M3 - Artículo
SN - 1079-8587
VL - 16
SP - 39
EP - 60
JO - Intelligent Automation and Soft Computing
JF - Intelligent Automation and Soft Computing
IS - 1
ER -