考虑多重影响因素的巡航飞行器增程优化设计研究

为有效提升现有巡航飞行器的航程,在不改变飞行器总体布局的情况下,考虑气动特性、质量等多重因素影响,研究了某巡航飞行器增程优化技术。首先,分析了巡航飞行器在典型飞行任务下的气动特性以及优化所需的有效参数;其次,构建了机翼翼展变化时翼展长度与机翼面积的映射模型,估算了不同翼展长度情况下飞行器质量的变化;然后,以翼展长度作为直接设计变量,考虑计算精度与优化效率,设计了基于遗传算法与神经网络相结合的优化方法,完成特定飞行条件下的航程优化。仿真分析表明,在设计约束范围内,当翼展长度增加到原来的1.16倍时,其航程相比原来可以增加18.03%,达到性能最优,同时,将影响航程变化的质量要素纳入设计优化,提高了性能优化的精准性。本文方法具有一定的理论和应用价值。

Research on Extended Range Optimization Design of Cruising Aircraft Considering Multiple Influencing Factors

In order to increase the original range of the cruising aircraft effectively,this paper studies the optimization design of extended range without changing the overall layout and considering multiple factors such as mass and aerodynamics.Firstly,it analyzes the aerodynamic characteristics of typical flight mission and the key parameters needed for optimization.Secondly,it establishes the mapping model of wingspan length and wing area when the wingspan is changing,and estimates the mass of aircraft with di-fferent wingspan,then taking the wingspan length as the direct design variable,and considering the calculation accuracy and optimization efficiency,it designs an optimization method based on genetic algorithm and neural network to complete the range optimization under specific flight conditions.The simulation analysis shows that when the wingspan length is increased by 1.16 times,the range can be increased by 18.03%,then the optimal performance is obtained.At the same time,it also shows that the design accuracy can be improved by incorporating the quality factors that affect the range into the design optimization.This method has a certain theoretical and practical value.