【摘要】 工业控制系统中采用单一运行数据对其进行性能评价的研究较多,采用多属性性能评价的研究较少。本文针对火电厂生产过程对主蒸汽温度控制系统控制品质的要求,提出一种基于单值中智集的火电机组主蒸汽温度控制系统多属性性能评价方法。首先,根据火电机组主蒸汽温度控制系统运行数据的多个属性值建立中智集决策矩阵;然后,基于每个属性提供的信息确定反映决策者意见的单值中智集决策矩阵,并通过加权平均算子将所有个体决策矩阵聚合为共同决策矩阵;最后,根据计算出的待评价控制方案与中智集正负理想解之间的欧式距离建立的相对贴近度函数的大小来评价各控制方案,并确定最优控制方案。仿真结果表明该评价方法有效合理且计算简单。更多还原

【Abstract】 In the industrial control system, there are many researches on performance evaluation with single running data, and less on multi-attribute performance evaluation. Against the requirement of main steam temperature control system in production process of thermal power plants, a multi-attribute performance evaluation method for the main steam temperature control system of thermal power units based on the single-valued neutrosophic set is proposed. Firstly, the neutrosophic set decision matrix is established based on multiple attribute values of the operating data of the main steam temperature control system of thermal power units. Then, on the basis of the information provided by each attribute, a single-valued neutrosophic set decision matrix that reflects the opinions of the decision maker is determined, and all the individual decision matrixes are aggregated into a common decision matrix by a weighted average operator. Finally, each control scheme is evaluated based on the degree of the relative closeness function which is calculated based on the Euclidean distance between the calculated control plan and the positive and negative ideal solutions of the neutrosophic set,and the optimal control plan is determined. The simulation results show that the proposed method is effective and reasonable, and the calculation is simple.更多还原