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多控制面飞行器结构与配平鲁棒气动弹性优化方法
引用本文:杨超,肖志鹏,万志强.多控制面飞行器结构与配平鲁棒气动弹性优化方法[J].航空学报,2011,32(1):75-82.
作者姓名:杨超  肖志鹏  万志强
作者单位:北京航空航天大学航空科学与工程学院,北京,100191
摘    要:基于遗传算法,提出了一种考虑多控制面飞行器结构参数和配平关系中的不确定性的鲁棒气动弹性优化方法,并在一个带有主动气动弹性机翼(AAW)的复杂小展弦比飞机的结构和控制面传动比的鲁棒设计中得到了应用.以非概率形式来衡量设计变量的不确定性变化,采用单目标函数形式,并引入一个反映目标函数相对变化的额外约束来描述鲁棒优化问题.在...

关 键 词:多控制面  鲁棒优化设计  主动气动弹性机翼  遗传算法  颤振  飞行载荷

A Robust Aeroelastic Optimization Method of Structure and Trim for Air Vehicle with Multiple Control Surfaces
YANG Chao,XIAO Zhipeng,WAN Zhiqiang.A Robust Aeroelastic Optimization Method of Structure and Trim for Air Vehicle with Multiple Control Surfaces[J].Acta Aeronautica et Astronautica Sinica,2011,32(1):75-82.
Authors:YANG Chao  XIAO Zhipeng  WAN Zhiqiang
Institution:School of Aeronautic Science and Engineering,Beijing University of Aeronautics and Astronautics, Beijing 100191,China
Abstract:A robust aeroelastic optimization method which is based on the genetic algorithm and takes into consideration the uncertainties in structure and trim is presented for an air vehicle with multiple control surfaces.This method is applied to the robust design of structure and gear ratios between the control surfaces for a complicated aircraft with a low-aspect-ratio and an active aeroelastic wing(AAW). The uncertain variation of design variables is estimated with a non-probability method. Robust optimization is formulated in the form of a single objective by introducing an additional constraint which reflects the relative change of objective. The concurrent optimization design of the structure and gear ratios is implemented in the case of critical load conditions. The objective is to minimize the structural mass subject to the robust constraints of deflection angles of control surfaces, hinge moments, loads acting on the wing root and critical flutter speed. A comparison is also performed between the robust method and the traditional method in which the robust requirements are not considered, and the validity of the robust method is demonstrated. The result shows that the robust optimization solution is more resistant to jamming in the face of the perturbation of design variables of structure and gear ratios. However, a mass increment has to be paid for satisfying the robust requirements.
Keywords:multiple control surfaces  robust optimization design  active aeroelastic wing  genetic algorithm  flutter  flight loads
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