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 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
January 2026
Fusion Science and Technology
Latest News
Godzilla is helping ITER prepare for tokamak assembly
ITER employees stand by Godzilla, the most powerful commercially available industrial robot available. (Photo: ITER)
Many people are familiar with Godzilla as a giant reptilian monster that emerged from the sea off the coast of Japan, the product of radioactive contamination. These days, there is a new Godzilla, but it has a positive—and entirely fact-based—association with nuclear energy. This one has emerged inside the Tokamak Assembly Preparation Building of ITER in southern France.
Richard B. Vilim, Humberto E. Garcia
Nuclear Science and Engineering | Volume 125 | Number 3 | March 1997 | Pages 324-336
Technical Paper | doi.org/10.13182/NSE97-A24278
Articles are hosted by Taylor and Francis Online.
Next generation pool-type power plants will require advanced control techniques to meet operational and safety goals. This is the conclusion after conducting control experiments in the Experimental Breeder Reactor II (EBR-II) to demonstrate a supervisory so-called passive control scheme. The proportional-integral-derivative controller in EBR-II did not adequately compensate for disturbances to inlet temperature that occurred during normal power changes. The key to better control is to take into account the stratification and energy interchange mechanisms in the primary pool through which these disturbances feed. A model-based control approach for solving this problem is described. A lumped parameter model of the EBR-II primary pool is developed and validated using experimental data. A disturbance rejection method is then used to design a controller that minimizes the effect of those disturbances that cause poor setpoint tracking. The implementation of the controller and results are given in a companion paper.