Evolutionary optimization of fuzzy systems for water level control in the steam generator of nuclear power plant

被引：0

作者：

Kim, MS ^{[1
]}

Kim, CH ^{[1
]}

Rohan, M ^{[1
]}

Lee, JJ ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Dept Elect Engn & Comp Sci, Taejon 305701, South Korea

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7 | 2004年

关键词：

fuzzy modeling; steam generator; evolutionary optimization;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Stabilizing water-level of the steam generator in nuclear power plant is a very important problem since dynamics of the system has nonlinear characteristics. Nonminimum phase phenomenon known as 'swell and shrink' effect in the steam generator is more salient in low operating power The swell and shrink effect is one of main factors for frequent shutdown of the nuclear power plant. In this paper a new framework for building an intelligent fuzzy controller for stabilizing water-level of steam generator is proposed. In the proposed framework, two fuzzy systems are used and those fuzzy systems are optimized using evolutionary algorithm. The first fuzzy system. is a fuzzy model, which is used to approximate the input-output relationship of the real steam generator After the fuzzy model is obtained, a group of fuzzy controllers is optimized by evolutionary algorithm while performing control test oil the obtained fuzzy model.

引用

页码：2303 / 2308

页数：6

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