Rule-based fuzzy logic controller for a PWR-type nuclear power plant
- 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), Vol. 38:2; ISSN 0018-9499
- Country of Publication:
- United States
- Language:
- English
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21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
PWR TYPE REACTORS
REACTOR CONTROL SYSTEMS
NUMERICAL ANALYSIS
SIMULATION
ROBINSON-2 REACTOR
GAIN
KNOWLEDGE BASE
LOGIC CIRCUITS
MATHEMATICAL MODELS
PERFORMANCE
AMPLIFICATION
CONTROL SYSTEMS
ELECTRONIC CIRCUITS
ENRICHED URANIUM REACTORS
MATHEMATICS
POWER REACTORS
REACTORS
THERMAL REACTORS
WATER COOLED REACTORS
WATER MODERATED REACTORS
220400* - Nuclear Reactor Technology- Control Systems
210200 - Power Reactors
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Light-Water Moderated
Nonboiling Water Cooled
990200 - Mathematics & Computers