DocumentCode
1177499
Title
Associative stochastic automaton for reactor power ascent
Author
Jouse, Wayne C. ; Shen, Bin ; Xu, Xiao ; Williams, John G.
Author_Institution
Dept. of Nucl. Eng., Arizona Univ., Tucson, AZ, USA
Volume
41
Issue
4
fYear
1994
fDate
8/1/1994 12:00:00 AM
Firstpage
1417
Lastpage
1422
Abstract
The dynamics of experimental nuclear reactors exhibit strong non-linearities, while the constraints associated with their operation embody a number of safety-related decision points and protective trips. For power maneuvering, existing control technologies include human operators, state variable feedback controllers, and digital model-based controllers. In this work, we demonstrate the use of an associative stochastic automaton as an alternative. Factors which lead to the success of the application are discussed
Keywords
fission reactor core control and monitoring; fission reactor theory and design; nuclear engineering computing; associative stochastic automaton; experimental nuclear reactors; nuclear reactors; power increase; Adaptive control; Automatic control; Digital control; Humans; Inductors; Learning automata; Neutrons; Power system modeling; Safety; Stochastic processes;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/23.322925
Filename
322925
Link To Document