The Research of Simulation Technology in Nuclear Power Plant and the Application of Fuzzy Control in Temperature Control System
On the foundation of studying the simulation platform of nuclear power, we use the graphical modeling technology to upgrade the control system of the platform. The subject based on the average temperature control system simulation diagram of nuclear power plant to design its graphical modeling pictu...
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Published in | 2010 International Conference on Web Information Systems and Mining Vol. 2; pp. 205 - 208 |
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Format | Conference Proceeding |
Language | English |
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IEEE
01.10.2010
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Abstract | On the foundation of studying the simulation platform of nuclear power, we use the graphical modeling technology to upgrade the control system of the platform. The subject based on the average temperature control system simulation diagram of nuclear power plant to design its graphical modeling picture, and based on the actual control requirements to set the parameters of each module, then achieve the graphical modeling upgrade of the average Secondly, Finally this paper analyses the average temperature control system of nuclear power plant and then considers using fuzzy control technology to improve the control performance. Using the output curve which get from the simulator to summarize fuzzy control rules. After the three processes of fuzzy, fuzzy reasoning and de-fuzzy, we achieve the design of fuzzy control. |
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AbstractList | On the foundation of studying the simulation platform of nuclear power, we use the graphical modeling technology to upgrade the control system of the platform. The subject based on the average temperature control system simulation diagram of nuclear power plant to design its graphical modeling picture, and based on the actual control requirements to set the parameters of each module, then achieve the graphical modeling upgrade of the average Secondly, Finally this paper analyses the average temperature control system of nuclear power plant and then considers using fuzzy control technology to improve the control performance. Using the output curve which get from the simulator to summarize fuzzy control rules. After the three processes of fuzzy, fuzzy reasoning and de-fuzzy, we achieve the design of fuzzy control. |
Author | HuaYan Ji JianHua Ye |
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SubjectTerms | Fuzzy control Graphical modeling Nuclear power plant simulation platform Pragmatics Process control Temperature control Temperature control system Turbines |
Title | The Research of Simulation Technology in Nuclear Power Plant and the Application of Fuzzy Control in Temperature Control System |
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