IF-ANP组合赋权的灰聚类飞机电能质量评估

Aircraft Electrical Power Quality Evaluation of Grey Clustering with IF-ANP Combination Weight

为评估和改善多电飞机270 V直流电力系统的可靠性,针对飞机直流电能质量指标的关联性和不确定性较强的问题,提出一种基于直觉模糊-网络层次分析法组合赋权的灰聚类电能质量评估方法。首先,根据现行飞机供电特性标准建立270 V直流电能质量评估指标体系,应用直觉模糊数改进经典网络层次分析法的标度法计算主观权重,结合熵权法以主、客观加权属性一致将两种权重组合。然后,采用端点混合可能度函数的灰聚类方法处理等级的不确定性和模糊性,结合指标组合权重计算综合聚类系数得出电能质量评估结果。最后,在Saber软件上搭建飞机270 V直流电力系统仿真模型,并利用仿真数据进行电能质量评估,结果表明,该方法能够得到合理的电能质量评估等级,正确地反映飞机270 V直流电力系统的运行状态,验证了所用方法的有效性。

To evaluate and improve the reliability of more-electric aircraft 270 V DC power system,a grey clustering power quality evaluation method based on intuitionistic fuzzy-analytic network process(IF-ANP)combination weight is proposed,which aims at the strong relevance and uncertainty of aircraft DC power quality indexes.First,a 270 V DC power quality evaluation index system is established according to the existing standard for aircraft power supply characteristics.The intuitionistic fuzzy number is used to improve the classical ANP scaling and calculate the subjective weight,and the subjective and objective weights with consistent weighting attributes are integrated by combining the entropy weight method.Then,the grey clustering method of an endpoint mixed possibility function is used to deal with the uncertainty and fuzziness of grades.Finally,the power quality evaluation result is obtained by calculating the comprehensive clustering coefficient in combination with the combination weight of indexes.A simulation model of aircraft 270 V DC power system is built in Saber,and the simulation data is used to evaluate the power quality.Results show that this method can obtain reasonable power quality evaluation grades and accurately reflect the operating status of the aircraft 270 V DC power system,which verifies the effectiveness of the proposed method.