Abstract
Steam generator (SG) is one of the most important equipments in nuclear power plants. The water level of SG must be kept in a certain range to ensure the plants operate safely, reliably and economically. Nowadays, most SG water levels are controlled by PID in PWR plants. In this paper, the mathematical models of SG level control system are built by Matlab/Simulink; the simulation research based on the Matlab/Simulink models is conducted, too. Then, based on RINSIM simulation platform of nuclear power plant Simulator in Wuhan University, a simulation model on the SG level control system is established.The graphical modeling methods for the SG level control system are provided. By using the model, transient simulation experiments and researches with different conditions are conducted. Contrast with the Matlab/Simulink simulation models, the good preciseness and identification performance of the RINSIM models are verified.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Irving, E., Miossec, C., Tassart, J.: Towards Efficient Full Automatic Operation of the PWR Steam Generator with Water Level Adaptive Control. In: Proceedings of Conference on Boiler Dynamics and Control in Nuclear Power Stations, pp. 309–329 (1998)
Habibiyan, H.: A Fuzzy-gain-scheduled Neural Controller for Nuclear Steam Generators. Annals of Nuclear Energy 31, 1765–1781 (2004)
Sudath, R., Munasinghe: Adaptive Neurofuzzy Controller to Regulate UTSG Water Level in Nuclear Power Plants. Nuclear Science 52, 421–429 (2005)
Qian, H., Li, C.: Full-load Water Level Digital Control System of Steam Generator. Journal of Shanghai University of Electric Power 25, 313–317 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Guo, J. (2010). Research on Steam Generator Water Level Control System Based on Nuclear Power Plant Simulator. In: Li, K., Li, X., Ma, S., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Communications in Computer and Information Science, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15853-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-15853-7_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15852-0
Online ISBN: 978-3-642-15853-7
eBook Packages: Computer ScienceComputer Science (R0)