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Going Nuclear: Notes from the officially unofficial book tour
I work in the analytical labs at one of Europe’s oldest and largest nuclear sites: Sellafield, in northwestern England. I spend my days at the fume hood front, pipette in one hand and radiation probe in the other (and dosimeter pinned to my chest, of course). Outside the lab, I have a second job: I moonlight as a writer and public speaker. My new popular science book—Going Nuclear: How the Atom Will Save the World—came out last summer, and it feels like my life has been running at full power ever since.
Man Gyun Na, Belle R. Upadhyaya, Jung In Choi
Nuclear Science and Engineering | Volume 129 | Number 3 | July 1998 | Pages 283-293
Technical Paper | doi.org/10.13182/NSE98-A1982
Articles are hosted by Taylor and Francis Online.
A multivariable adaptive control algorithm is applied to the axial flux shape control in a pressurized water reactor. This is one of the most challenging control problems in the nuclear field. The reactor model used for computer simulations is a two-point xenon oscillation model based on the nonlinear xenon and iodine balance equations and a one-group, one-dimensional, neutron diffusion equation having nonlinear power reactivity feedback that adequately describes axial oscillations and treats the nonlinearities explicitly. The reactor core is axially divided into two regions, and it is considered that each region has one input and one output and is coupled with the other region. The control parameters are updated on-line with the generalized least-squares method to adjust the varying operating conditions. Therefore, this algorithm is able to treat the varying operating conditions well. Also, this control algorithm exhibits very fast responses due to the step and ramp changes of target axial shape without any residual flux oscillations between the upper and lower halves of the reactor core.