Abstract
A method for self-timing of a fuzzy logic controller (FLC) based on the estimation of the optimum value of the centroids of the its output fuzzy sets is proposed. The method can be implemented on-line and does not modify the membership function and the control rules, thus preserving the description of control statements in their original forms. Results of simulation and actual tests show that the tuning method improves the FLCs performance in following desired reactor power level trajectories (simulation tests) and simple power up and power down experiments (simulation and actual tests). The FLC control rules were derived from control statements expressing the relations between error, rate of error change, and control rod duration and direction of movements.
Citation Formats
Alang-Rashid, N K, and Heger, A S.
Self-tuning fuzzy logic nuclear reactor controller.
Belgium: N. p.,
1994.
Web.
Alang-Rashid, N K, & Heger, A S.
Self-tuning fuzzy logic nuclear reactor controller.
Belgium.
Alang-Rashid, N K, and Heger, A S.
1994.
"Self-tuning fuzzy logic nuclear reactor controller."
Belgium.
@misc{etde_533301,
title = {Self-tuning fuzzy logic nuclear reactor controller}
author = {Alang-Rashid, N K, and Heger, A S}
abstractNote = {A method for self-timing of a fuzzy logic controller (FLC) based on the estimation of the optimum value of the centroids of the its output fuzzy sets is proposed. The method can be implemented on-line and does not modify the membership function and the control rules, thus preserving the description of control statements in their original forms. Results of simulation and actual tests show that the tuning method improves the FLCs performance in following desired reactor power level trajectories (simulation tests) and simple power up and power down experiments (simulation and actual tests). The FLC control rules were derived from control statements expressing the relations between error, rate of error change, and control rod duration and direction of movements.}
place = {Belgium}
year = {1994}
month = {Dec}
}
title = {Self-tuning fuzzy logic nuclear reactor controller}
author = {Alang-Rashid, N K, and Heger, A S}
abstractNote = {A method for self-timing of a fuzzy logic controller (FLC) based on the estimation of the optimum value of the centroids of the its output fuzzy sets is proposed. The method can be implemented on-line and does not modify the membership function and the control rules, thus preserving the description of control statements in their original forms. Results of simulation and actual tests show that the tuning method improves the FLCs performance in following desired reactor power level trajectories (simulation tests) and simple power up and power down experiments (simulation and actual tests). The FLC control rules were derived from control statements expressing the relations between error, rate of error change, and control rod duration and direction of movements.}
place = {Belgium}
year = {1994}
month = {Dec}
}