The Defuzzification Methods Influence on Fuzzy Control of Nuclear Reactor

T. Skulavik, M. Kopček, P. Mydlo, P. Schreiber
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引用次数: 5

Abstract

This paper deals with the influence of the defuzzification methods on the quality of fuzzy control. There exist many defuzzification methods in theory. Each of them has its own benefits and application areas. The scope of this paper is focused only to the defuzzification methods available in Matlab Simulink environment. These are compared and evaluated using the integral quality criteria. The fuzzy PI controller was designed with normalized universes to simplify the tuning of controller parameters. The nuclear reactor model has been used as a reference system during experiments. The nuclear reactor model has been constructed using the Point kinetics model and the Thermal model. Step response characteristics of the closed loop control system were evaluated using integral criteria to compare available defuzzification methods. Finally the achieved results were briefly summarized.
解模糊化方法对核反应堆模糊控制的影响
本文讨论了解模糊化方法对模糊控制质量的影响。理论上存在多种去模糊化方法。每一种方法都有自己的优点和应用领域。本文的范围只集中在Matlab Simulink环境下可用的去模糊化方法。使用整体质量标准对这些进行比较和评估。为了简化控制器参数的整定,采用归一化全域设计模糊PI控制器。核反应堆模型在实验中被用作参考系统。采用点动力学模型和热学模型建立了核反应堆模型。利用积分准则对闭环控制系统的阶跃响应特性进行了评价,比较了现有的去模糊化方法。最后对取得的成果进行了简要总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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