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The Defuzzification Methods Influence on Fuzzy Control of Nuclear Reactor

机译:除模糊方法对核反应堆模糊控制的影响

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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.
机译:本文研究了去模糊方法对模糊控制质量的影响。理论上存在许多去模糊方法。它们每个都有自己的优势和应用领域。本文的范围仅集中于Matlab Simulink环境中可用的反模糊化方法。使用整体质量标准对这些标准进行比较和评估。模糊PI控制器设计有归一化的Universe,以简化控制器参数的调整。核反应堆模型已在实验过程中用作参考系统。核反应堆模型是使用点动力学模型和热模型构建的。使用积分标准评估闭环控制系统的阶跃响应特性,以比较可用的去模糊方法。最后简要总结了取得的成果。

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