Expert system driven fuzzy control application to power reactors

Conference · Mon Dec 31 04:00:00 EST 1990

OSTI ID:10103955

Tsoukalas, L H; Berkan, R C; Upadhyaya, B R; Uhrig, R E

For the purpose of nonlinear control and uncertainty/imprecision handling, fuzzy controllers have recently reached acclaim and increasing commercial application. The fuzzy control algorithms often require a ``supervisory`` routine that provides necessary heuristics for interface, adaptation, mode selection and other implementation issues. Performance characteristics of an on-line fuzzy controller depend strictly on the ability of such supervisory routines to manipulate the fuzzy control algorithm and enhance its control capabilities. This paper describes an expert system driven fuzzy control design application to nuclear reactor control, for the automated start-up control of the Experimental Breeder Reactor-II. The methodology is verified through computer simulations using a valid nonlinear model. The necessary heuristic decisions are identified that are vitally important for the implemention of fuzzy control in the actual plant. An expert system structure incorporating the necessary supervisory routines is discussed. The discussion also includes the possibility of synthesizing the fuzzy, exact and combined reasoning to include both inexact concepts, uncertainty and fuzziness, within the same environment.

• Research Organization: Tennessee Univ., Knoxville, TN (United States). Dept. of Nuclear Engineering
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: FG07-88ER12824
• OSTI ID: 10103955
• Report Number(s): CONF-9011312--1; ON: DE93002121
• Country of Publication: United States
• Language: English

Related Subjects

22 GENERAL STUDIES OF NUCLEAR REACTORS
220400
99 GENERAL AND MISCELLANEOUS
990200
ALGORITHMS
ARTIFICIAL INTELLIGENCE
CONTROL SYSTEMS
EBR-2 REACTOR
EXPERT SYSTEMS
FUZZY LOGIC
MATHEMATICS AND COMPUTERS
REACTOR CONTROL SYSTEMS