Rule-based fuzzy logic controller for a PWR-type nuclear power plant
Journal Article
·
· IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States)
- Bogazici Univ., Muhendislik Fakultesi, 80815-Bebek, Istanbul (TR)
This paper reports on a rule-based fuzzy logic regulator developed for a PWR-type nuclear power plant based on knowledge acquisition through numerical simulations and making use of a validated mathematical model of the H.B. Robinson power plant. Production rules were used for knowledge representation and fuzzy sets were implemented using broken line. Due to the nature of the rules, forward chaining was selected as the inferencing mechanism. Using an error criterion, the gain and sampling interval values were adjusted. The behavior of this rule-based controller was investigated under both normal and noisy operating conditions and in the presence of drift in process variables. It was observed that there was negligible degradation in the performance of the controller in the presence of noise and drift in process variables.
- OSTI ID:
- 5079237
- Journal Information:
- IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Nuclear Science (Institute of Electrical and Electronics Engineers); (United States) Vol. 38:2; ISSN 0018-9499; ISSN IETNA
- Country of Publication:
- United States
- Language:
- English
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21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
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Nonboiling Water Cooled
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99 GENERAL AND MISCELLANEOUS
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22 GENERAL STUDIES OF NUCLEAR REACTORS
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99 GENERAL AND MISCELLANEOUS
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LOGIC CIRCUITS
MATHEMATICAL MODELS
MATHEMATICS
NUMERICAL ANALYSIS
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SIMULATION
THERMAL REACTORS
WATER COOLED REACTORS
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