Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Simulation Study and Parameter Evaluation on Water Level Control System of Steam Generator in Nuclear Power Plant

Authors
Chunyu Bi, Pengfei Liu, Xinli Song, Guoyang Wu, Zhida Su
Corresponding Author
Chunyu Bi
Available Online June 2017.
DOI
https://doi.org/10.2991/caai-17.2017.8How to use a DOI?
Keywords
nuclear power plant; SG water level control system; simulation; Nichols curve; parameter evaluation
Abstract
Based on a CPR1000 nuclear power plant simulation platform which is developed by Shanghai Jiao Tong University, simulation study and parameter evaluation on the water level control system of Steam Generator have been done in this paper. The response of the SG water level control system is validated by comparing with the design document of SG control system, which is simulated by CATIA2 Code. And then, the controller parameters of SG system are evaluated by Nichols chart and simulation platform. The simulation results show that this simulation platform has a good accordance with the CATIA2 and it can be used in the control system design of nuclear power plant.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-360-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/caai-17.2017.8How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chunyu Bi
AU  - Pengfei Liu
AU  - Xinli Song
AU  - Guoyang Wu
AU  - Zhida Su
PY  - 2017/06
DA  - 2017/06
TI  - Simulation Study and Parameter Evaluation on Water Level Control System of Steam Generator in Nuclear Power Plant
BT  - 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 38
EP  - 41
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.8
DO  - https://doi.org/10.2991/caai-17.2017.8
ID  - Bi2017/06
ER  -