首页> 外文会议>International FLINS conference on intelligent techniques and soft computing in nuclear science and engineering >OPTIMIZATION OF THE NUMBER OF FUZZY RULES TOWARDS A BETTER TEMPERATURE CONTROL OF NUCLEAR REACTORS
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OPTIMIZATION OF THE NUMBER OF FUZZY RULES TOWARDS A BETTER TEMPERATURE CONTROL OF NUCLEAR REACTORS

机译:优化核反应堆更好温度控制的模糊规则数量

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A nuclear power plant must be capable to face the fine evolution of the energy demand. Several parameters of the reactor are mainly concerned by operations of follow-up of load. We propose a fuzzy regulation of the average temperature of the primary circuit. The base is set to few rules at the beginning and an optimization algorithm fills the base. The principle consists by adding rules if the output is not satisfactory. The rules are added according to the areas where the control is fairly good. It is also possible to end the optimization and set the number of rules without filling the entire table. The possibility of free filling the base aims at refining the regulation and compensating the effects of oscillations due to the instability of the system. The results are satisfactory.
机译:核电站必须能够面对能源需求的精细进化。反应器的几个参数主要涉及负载随访的操作。我们提出了一种模糊调节初级回路的平均温度。在开始时,基数设置为几个规则,并且优化算法填充基础。如果输出不令人满意,原则通过添加规则来组成。根据控制权相当不错的地区添加规则。也可以结束优化并设置规则的数量而不填充整个表。自由填充基座的可能性旨在精炼调节并通过系统的不稳定性来补偿振荡的影响。结果令人满意。

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