Application of fuzzy logic in nuclear reactor control Part I: An assessment of state-of-the-art
- Univ. of New Mexico, Albuquerque, NM (United States)
- Malaysian Institute for Nuclear Technology Research, Bangi (Malaysia)
This article discusses the application of fuzzy logic to nuclear reactor control. The method has been suggested by many investigators in many control applications. Reviews of the application of fuzzy logic in process control are given by Tong and Sugeno. Because fuzzy logic control (FLC) provides a pathway for transforming human abstractions into the numerical domain, it has the potential to assist nuclear reactor operators in the control room. With this transformation, linguistically expressed control principles can be coded into the fuzzy controller rule base. Having acquired the skill of the operators, the FLC can assist an operator in controlling the complex system. The thrust of FLC is to derive a conceptual model of the control operation, without expressing the process as mathematical equations, to assist the human operator in interpreting incoming plant variables and arriving at a proper control action. To introduce the concept of FLC in nuclear reactor operation, an overview of the mythology and a review of its application in both nuclear and nonnuclear control application domains are presented along with subsequent discussion of fuzzy logic controllers, their structures, and their method of information processing. The article concludes with the application of a tunable FLC to a typical reactor control problem.
- Research Organization:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- OSTI ID:
- 103241
- Report Number(s):
- TPJ-NS-36-No.1; TRN: 95:019857
- Resource Relation:
- Other Information: PBD: 1995; Related Information: Is Part Of Nuclear Safety Technical Progress Journal, January--June 1995. Volume 36, No. 1; PB: 199 p.
- Country of Publication:
- United States
- Language:
- English
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