Abstract
A neuro-fuzzy control algorithm is applied for xenon spatial oscillations in a pressurized water reactor. The consequent and antecedent parameters of the fuzzy rules are tuned by the gradient descent method. The reactor model used for computer simulations is a two-point xenon oscillation model. The reactor core is axially divided into two regions and each region has one input and one output and is coupled with the other region. The interaction between the regions of the reactor core is treated by a decoupling scheme. This proposed control method exhibits very responses to a step or a ramp change of target axial offest without any residual flux oscillations. 9 refs., 5 figs. (Author)
Na, Man Gyun;
[1]
Upadhyaya, Belle R
[2]
- Chosun University, Kwangju (Korea, Republic of)
- The University of Tennessee, Knoxville (United States)
Citation Formats
Na, Man Gyun, and Upadhyaya, Belle R.
A neuro-fuzzy controller for xenon spatial oscillations in load-following operation.
Korea, Republic of: N. p.,
1997.
Web.
Na, Man Gyun, & Upadhyaya, Belle R.
A neuro-fuzzy controller for xenon spatial oscillations in load-following operation.
Korea, Republic of.
Na, Man Gyun, and Upadhyaya, Belle R.
1997.
"A neuro-fuzzy controller for xenon spatial oscillations in load-following operation."
Korea, Republic of.
@misc{etde_324119,
title = {A neuro-fuzzy controller for xenon spatial oscillations in load-following operation}
author = {Na, Man Gyun, and Upadhyaya, Belle R}
abstractNote = {A neuro-fuzzy control algorithm is applied for xenon spatial oscillations in a pressurized water reactor. The consequent and antecedent parameters of the fuzzy rules are tuned by the gradient descent method. The reactor model used for computer simulations is a two-point xenon oscillation model. The reactor core is axially divided into two regions and each region has one input and one output and is coupled with the other region. The interaction between the regions of the reactor core is treated by a decoupling scheme. This proposed control method exhibits very responses to a step or a ramp change of target axial offest without any residual flux oscillations. 9 refs., 5 figs. (Author)}
place = {Korea, Republic of}
year = {1997}
month = {Dec}
}
title = {A neuro-fuzzy controller for xenon spatial oscillations in load-following operation}
author = {Na, Man Gyun, and Upadhyaya, Belle R}
abstractNote = {A neuro-fuzzy control algorithm is applied for xenon spatial oscillations in a pressurized water reactor. The consequent and antecedent parameters of the fuzzy rules are tuned by the gradient descent method. The reactor model used for computer simulations is a two-point xenon oscillation model. The reactor core is axially divided into two regions and each region has one input and one output and is coupled with the other region. The interaction between the regions of the reactor core is treated by a decoupling scheme. This proposed control method exhibits very responses to a step or a ramp change of target axial offest without any residual flux oscillations. 9 refs., 5 figs. (Author)}
place = {Korea, Republic of}
year = {1997}
month = {Dec}
}