ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jun 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
August 2026
Nuclear Technology
July 2026
Fusion Science and Technology
Latest News
Launching into tomorrow: NRIC guides new era of research and deployment
In June 2025, the Department of Energy announced the Reactor Pilot Program, an authorization pathway that allowed reactor developers to partner with the DOE to get first-of-a-kind (FOAK) reactors built and tested. Soon after, the DOE rolled out a complementary Fuel Line Pilot Program, which aimed to fast-track fuel projects. In all, 20 projects were accepted into the new programs.
Chaung Lin, Feng-Ling Jeng, Chi-Szu Lee, Raghu Raghavan
Nuclear Technology | Volume 118 | Number 3 | June 1997 | Pages 254-263
Technical Paper | Reactor Operation | doi.org/10.13182/NT97-A35366
Articles are hosted by Taylor and Francis Online.
A hierarchical fuzzy logic controller (FLC) is applied to control the water level in an analytical simulation using a simplified advanced boiling water reactor model. To reduce the control effort of the feedwater pump, the linguistic variable, change in pressure, was adopted. Four linguistic variables were used for the FLC design, and the number of control rules became large if the conventional FLC design method was used. Using a hierarchical rule structure reduces the total number of control rules and thus the final decision tables. To reduce the design effort, two methods were separately developed for fine-tuning. One tunes the scaling factors using an optimization method, and the other tunes the control rules using a method similar to a fuzzy model reference control. The simulation results show that the performance of the hierarchical FLC is comparable to that of the proportional-integral controller, but use of the designed controller results in a shorter settling time.