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The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
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Newest Russian icebreaker ready to hit the ice
The Russian nuclear-powered icebreaker Arktika. Photo: Rosatom
The Arktika, Russia’s latest nuclear-powered icebreaker, sailed from the Baltic Shipyard in St. Petersburg last week, bound for the Murmansk seaport. The voyage is scheduled to take approximately two weeks, during which time the vessel will be tested “in ice conditions,” according to Rosatom, Russia’s state-owned atomic energy corporation.
Peiwei Sun, Ji Feng, Xianbao Yuan, Liang Zhao, Furong Liu
Nuclear Technology | Volume 199 | Number 1 | July 2017 | Pages 35-46
Technical Paper | dx.doi.org/10.1080/00295450.2017.1322396
Articles are hosted by Taylor and Francis Online.
The Canadian SuperCritical Water-cooled Reactor (SCWR) is a once-through pressure tube–type SCWR under development in Canada. It is a multivariable system with strong cross coupling and a high degree of nonlinearity. The outputs are sensitive to disturbances, and the variations in the thermal parameters should be limited to avoid thermal stress to its components. Therefore, designing an adequate control system is challenging. In this paper, robust multivariable feedback control and feedforward control are proposed to design the control system of the Canadian SCWR. Three uncertainty sources are considered: unmodeled uncertainty, linearization uncertainty, and model reduction uncertainty. These uncertainties are evaluated taking into account all aspects affecting the linear dynamic model used in the robust controller synthesis, and the uncertainty bounds are determined to cover the uncertainties. The robust feedback controller is synthesized using the μ-synthesis approach. The feedforward control is added to the robust feedback control to further improve the control performance. It is obtained through disturbance compensation features for a feedforward controller. The control performance of the hybrid control system is evaluated based on the nonlinear simulation by introducing different setpoint changes. The designed control system can stabilize the Canadian SCWR, and the control performance is satisfactory.