基于FQFD的太阳能无人机设计指标排序方法

为解决太阳能无人机（UAV）总体设计中任务需求表达模糊、技术指标重要度排序决策困难的问题，提出了基于模糊质量功能展开（FQFD）的太阳能无人机总体设计指标排序方法。该方法在传统质量功能展开（QFD）质量屋的基础上，引入三角模糊数，表征任务需求的不确定性和模糊性；在模糊隶属度函数未知的情况下，采用α加权修正水平截集去模糊化方法计算技术指标重要度，获得技术指标重要度排序，为总体设计优化决策提供依据。最后以长航时太阳能无人机的总体设计为例，对任务需求—工程特性—技术指标的两级质量屋模型进行计算分析，得到续航能力、巡航高度、动力系统效率、巡航速度和气动效率是太阳能无人机最重要的5个技术指标的结果。此方法客观性较强，可处理复杂的系统不确定性，为太阳能无人机总体方案设计及决策应用提供参考依据。

Sorting method for design specifications of solar powered UAV based on FQFD

To solve the problem existing in the preliminary design of the solar powered Unmanned Aerial Vehicle (UAV), such as uncertainty of task demands and difficulty in importance-sorting of technical specifications, a sorting method is proposed for designing specifications of the solar powered UAV based on Fuzzy Quality Function Deployment (FQFD). On the basis of the traditional Quality Function Deployment (QFD) house of quality, the method introduces the triangular fuzzy number to characterize the uncertainty and fuzziness of the task demand. On the condition that the fuzzy number membership function for the importance of technical characteristics is not explicitly known, the importance level of technical specifications is defuzzified by averaging level α-cut set. Importance-sorting of technical specifications is realized to provide reference for the preliminary design decision. For the preliminary design of the long-haul solar powered UAV, the two-level house of quality model for the task demand-engineering characteristics-technical specifications is analyzed. The result indicates that the five most important technical specifications are flight endurance, cruise height, powered system efficiency, cruise speed and aerodynamic efficiency. Compared with traditional methods, the method proposed can handle more complex system uncertainty with better objectivity, providing reference for the preliminary design and decision making of the solar powered UAV.