Issue |
MATEC Web of Conferences
Volume 56, 2016
2016 8th International Conference on Computer and Automation Engineering (ICCAE 2016)
|
|
---|---|---|
Article Number | 08001 | |
Number of page(s) | 5 | |
Section | Electronic Technology and Power Engineering | |
DOI | https://doi.org/10.1051/matecconf/20165608001 | |
Published online | 26 April 2016 |
Modeling and Simulation for Nonlinear Pressurized Water Reactor Cores Using Gap Metric and Fuzzy Model with Transfer Function
1 Tsinghua University, National Laboratory for Information Science and Technology, 100084 Beijing, China
2 Tsinghua University, Graduate School at Shenzhen, 518055 Shenzhen, China
3 Tsinghua University, Department of Automation, 100084 Beijing, China
4 Shenzhen Key Lab of Space Robotic Technology and Telescience, 518055 Shenzhen, China
5 Shenzhen Engineering Lab of Precision Geometry Measurement Technology, 518055 Shenzhen, China
This investigation is to deal with the modeling issue for nonlinear pressurized water reactor cores. Nonlinearity measure with gap metric and T-S fuzzy modeling are exploited to build the fuzzy model of a nonlinear core which approximates this nonlinear core model. The gap metric of the core is proposed to quantify the core nonlinearity. The curve in the whole range of core power level that is solved adopting the gap metric is the core nonlinearity measure. In terms of the measure, six linearized core models at six power levels are selected as local models of the nonlinear core model. Based on the local models and the introduction of the triangle membership function, the core fuzzy model is achieved. The core fuzzy model and nonlinear core model are simulated. Simulation results show that the core fuzzy model can approximate and substitute the nonlinear core model.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.