한국원자력학회:학술대회논문집 (Proceedings of the Korean Nuclear Society Conference)
- 한국원자력학회 1996년도 추계학술발표회논문집(1)
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- Pages.73-78
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- 1996
Fuzzy Gain Scheduling of Velocity PI Controller with Intelligent Learning Algorithm for Reactor Control
- Kim, Dong-Yun (Korea Advanced Institute of Science and Technology) ;
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Seong, Poong-Hyun
(Korea Advanced Institute of Science and Technology)
- 발행 : 1996.11.01
초록
In this study, we proposed a fuzzy gain scheduler with intelligent learning algorithm for a reactor control. In the proposed algorithm, we used the gradient descent method to learn the rule bases of a fuzzy algorithm. These rule bases are learned toward minimizing an objective function, which is called a performance cost function. The objective of fuzzy gain scheduler with intelligent learning algorithm is the generation of adequate gains, which minimize the error of system. The condition of every plant is generally changed as time gose. That is, the initial gains obtained through the analysis of system are no longer suitable for the changed plant. And we need to set new gains, which minimize the error stemmed from changing the condition of a plant. In this paper, we applied this strategy for reactor control of nuclear power plant (NPP), and the results were compared with those of a simple PI controller, which has fixed gains. As a result, it was shown that the proposed algorithm was superior to the simple PI controller.
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