摘要
以高空长航时无人机的总体方案研究为背景,对高空长航时无人机总体参数建立了多目标优化模型,运用多目标遗传算法进行优化设计,最后通过建立的计算机程序得出优化结果。多目标优化用于高空长航时无人机总体参数优化,可以更加合理地评价高空长航时无人机的总体参数的最佳组合,避免设计上的缺陷,提高设计效率。结果表明,高空长航时无人机优化后的总体性能得到改善,说明该方法适用于高空长航时无人机总体方案的优化设计,对方案研究有一定参考价值。
Based on the research of the project of the HALE （High Altitude Long Endurance） UAVs, an optimal model of multi - objective optimization for parameters of HALE UAV is built in this paper, and a method of multi - objective genetic algorithms is used for doing optimal design, and a optimized result is given by computer program that is built in this paper at last. Multi-objective optimization, which is used for parameters of HALE UAV, can make estimating the best compounding of parameters of HALE UAV more rational, and both avoiding vices in design and improving efficiency. The conclusion explains that the performance of HALE UAV is better than before after the optimal design and this method is fit for optimal design of HALE UAV and optimal design of multi - objective Genetic algorithm has some reference value for the research of the project of the HALE UAV.
出处
《航空计算技术》
2007年第4期75-76,81,共3页
Aeronautical Computing Technique
