Application of adaptive fuzzy control technology to pressure control of a pressurizer

Autor:	Bian Xin-qian, Yang Ben-kun, Guo Wei-lai
Rok vydání:	2005
Předmět:	Engineering Pressure control business.industry Mechanical Engineering Pressurized water reactor Ocean Engineering Control engineering Fuzzy control system Fuzzy logic law.invention Coolant law Control theory Pressurizer Nuclear power plant business
Zdroj:	Journal of Marine Science and Application. 4:39-43
ISSN:	1993-5048 1671-9433
DOI:	10.1007/s11804-005-0044-x
Popis:	A pressurizer is one of important equipment in a pressurized water reactor plant. It is used to maintain the pressure of primary coolant within allowed range because the sharp change of coolant pressure affects the security of reactor, therefor, the study of pressurizer’s pressure control methods is very important. In this paper, an adaptive fuzzy controller is presented for pressure control of a presurizer in a nuclear power plant. The controller can on-line tune fuzzy control rules and parameters by self-learning in the actual control process, which possesses the way of thinking like human to make a decision. The simulation results for a pressurized water reactor plant show that the adaptive fuzzy controller has optimum and intelligent characteristics, which prove the controller is effective.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c01b50e58d641a8d86caf1d8a88d4d1a https://doi.org/10.1007/s11804-005-0044-x Zobrazit plný text záznamu Full text from SpringerLink