基于遗传算法的柔性飞翼布局阵风减缓设计  

Gust load alleviation of a flexible flying wing configuration based on genetic algorithm

作　　者：蒲利东[1] 谭申刚[1] 霍应元[1] 

机构地区：[1]中航工业西安飞机设计研究所强度设计研究所,陕西西安710089

出　　处：《飞行力学》2016年第5期40-43,48,共5页Flight Dynamics

基　　金：国家科技部国际合作专项基金资助(2013DFA80710)

摘　　要：将飞翼布局飞机的阵风减缓设计转化为多目标优化问题。基于气动伺服弹性稳定裕度修正个体适应度,建立了改进的多目标非支配排序遗传-阵风减缓算法(NSGA-GLA算法)。基于无控飞机的阵风响应特性,提出了阵风减缓控制方案。以翼根弯矩、俯仰角速率和舵偏角最小为目标,采用NSGA-GLA算法对控制器增益参数进行了优化。仿真结果表明,所设计的控制器能够有效改善飞机的阵风响应特性,实现阵风减缓。The multi-objective genetic algorithm was used to the gust load alleviation control of a flying wing configuration. The fitness function was corrected and an improved Non-Dominated Sorting GeneticGust Loads Alleviation Algorithm（ NSGA-GLA） was developed based on the aeroservoelastic stability margin. Based on the open-loop gust response characteristics,gust load alleviation control scheme was designed,and the feedback gains of the controller were optimized to minimize the wing bending moment,the pitch rate and the control surface deflection. The results show the feasibility of the scheme and the effectiveness of the controller in gust load alleviation.

关 键 词：飞翼 阵风减缓 气动伺服弹性 多目标遗传算法 

分 类 号：V215.3[航空宇航科学与技术—航空宇航推进理论与工程]