A strategic flight conflict avoidance approach based on a memetic algorithm

Conflict avoidance （CA） plays a crucial role in guaranteeing the airspace safety. The cur- rent approaches, mostly focusing on a short-term situation which eliminates conflicts via local adjust- ment, cannot provide a global solution. Recently, long-term conflict avoidance approaches, which are proposed to provide solutions via strategically planning traffic flow from a global view, have attracted more attentions. With consideration of the situation in China, there are thousands of flights per day and the air route network is large and complex, which makes the long-term problem to be a large-scale combinatorial optimization problem with complex constraints. To minimize the risk of premature convergence being faced by current approaches and obtain higher quality solutions, in this work, we present an effective strategic framework based on a memetic algorithm （MA）, which can markedly improve search capability via a combination of population-based global search and local improve- ments made by individuals. In addition, a specially designed local search operator and an adaptive local search frequency strategy are proposed to improve the solution quality. Furthermore, a fast genetic algorithm （GA） is presented as the global optimization method. Empirical studies using real traffic data of the Chinese air route network and daily flight plans show that our approach outper- formed the existing approaches including the GA .based approach and the cooperative coevolution based approach as well as some well-known memetic algorithm based approaches.     

Aeroelastic two-level optimization for preliminary design of wing structures considering robust constraints

An aeroelastic two-level optimization methodology for preliminary design of wing struc- tures is presented, in which the parameters for structural layout and sizes are taken as design vari- ables in the first-level optimization, and robust constraints in conjunction with conventional aeroelastic constraints are considered in the second-level optimization. A low-order panel method is used for aerodynamic analysis in the first-level optimization, and a high-order panel method is employed in the second-level optimization. It is concluded that the design of the abovementioned structural parameters of a wing can be improved using the present method with high efficiency. An improvement is seen in aeroelastic performance of the wing obtained with the present method when compared to the initial wing. Since these optimized structures are obtained after consideration of aerodynamic and structural uncertainties, they are well suited to encounter these uncertainties when they occur in reality.     

转子-支承耦合结构的模型修正研究

在转子-支承耦合结构的动力学分析过程中,结构模态参数计算结果与实验测试结果往往存在较大差异。针对此问题,应用优化算法对结构动力学模型进行修正,使计算模型能更准确地反映结构特性。建立由梁单元、盘单元、弹性支承单元组成的结构动力学有限元模型;选择优化目标函数、设计参数,并对各参数进行灵敏度分析。应用粒子群算法对选取的设计参数进行优化,得到最优模型。利用转子-滚动轴承实验器进行验证,结果表明,方法能够有效地实现转子-支承耦合结构的动力学模型修正,修正后模型更接近实际结构。     

大尺寸复合材料RTM波纹梁设计优化

为了对使用Resin Transfer Molding(RTM)工艺制造的大尺寸复合材料波纹梁进行结构减重设计优化,运用CATIA软件复合材料设计模块对大尺寸波纹梁进行多厚度分区设计,并编制FORTRAN软件二次开发程序对波纹梁铺层角度和顺序进行优化,进行静强度计算,设计并进行波纹梁剪切试验,制造的波纹梁在某型飞机上成功应用并取得了明显的减重效果。     

基于主动失谐优化的叶轮瞬态加减速振动抑制

提出了一种基于主动失谐优化的叶轮瞬态加减速振动抑制方法.首先建立了瞬态加减速激励下的叶轮降阶模型,获得了表征失谐对瞬态振幅影响的失谐放大因子.然后基于降阶模型,采用蒙特卡洛仿真快速计算了一系列瞬态激励下失谐放大因子的概率密度分布,结果表明:失谐放大因子在大多数瞬态激励下受到随机小失谐的影响大于在稳态激励下受到的影响,且...     

基于PSO算法的半球谐振陀螺惯导系统陀螺温度补偿方法

针对半球谐振陀螺受温度影响出现零位漂移的问题，以测温电路温度为基准，建立温度频率函数实时解算温度，提出一种基于粒子群优化(PSO)算法的半球谐振陀螺惯导系统陀螺温度补偿方法。在求解温度时，需要先将温度频率函数转换为一元三次方程，存在测试计算量大的问题。引入逆向拟合思想，建立频率温度函数，提高陀螺输出温度实时性和降低测试计算量，替代了传统陀螺测温硬件电路，为惯导系统轻小型设计提供新思路。考虑温度变化、温度变化率以及两者的交叉项，建立温度补偿模型，引入PSO算法求解模型系数。温度试验结果表明，在温箱温度为-40~50 ℃内，补偿后的半球谐振陀螺的零偏稳定性较补偿前提升了46％。     

二元推力矢量喷管导流管的设计研究

针对某型飞机进行二元推力矢量改装时对发动机出口的气流进行过渡转换的问题，设计了喷管导流管，将导流管气流截面由圆形过渡到长方形。本文利用有限元软件PATRAN对导流管进行了应力强度分析和变形分析，得出导流管的应力分布场和变形位移场，通过对不同厚度的导流管的分析计算得出导流管最大应力和最大位移随管壁厚度变化曲线，从而确定最佳的管壁厚度。研究了导流管最大应力和最大位移沿轴向的变化曲线，并对导流管的结构进行了优化设计，给出两种优化设计方案，得到较为理想的结构。     

Optimization Based on Convergence Velocity and Reliability for Hydraulic Servo System

This article presents an optimal hybrid fuzzy proportion integral derivative (HFPID) controller based on combination of proportion integral derivative (PID) and fuzzy controllers, by which the parameters could be evaluated by global optimization either in convergence velocity or in convergence reliability. Focusing on the nonlinear factors of hydraulic servo system, this article takes advantage of PID and fuzzy logic controller integrated with scaling factors to acquire precise tracking performances. To further improve the performances, it provides new developed optimization with rapid convergence to attain reliable approach probability. Focusing on the performance indictors of evolutionary algorithm, this article presents a new technique to predict reliability of the optimization algorithm. Statistics authenticates the effectiveness and robustness of the optimization. Further, many simulation and experimental results indicate that the optimal HFPID could acquire perfect immunity against parametric uncertainties with external disturbance.     

应急动力系统的优化

国内飞机首次采用的应急动力系统,在研制过程中对系统的起动信号、工作状态、控制逻辑、设计参数和人机对话等方面进行了改进和优化,使系统的功能更加完善和可靠。     

边条机翼布局战斗机稳定性改进研究

对边条机翼布局战斗机的纵，横向稳定性改进措施进行了研究，结合具体战斗机布局，给出了边条机翼布局战斗机纵，横向稳定性的一般特征，对前缘襟翼下偏，翼刀，平尾下反和机身截面修形等几种气动布局改进措施的风洞试验结果进行了简要讨论，结果表明，所研究的气动布局改进措施都能有效提高边条机翼布局战斗机的稳定性，其中，前缘襟翼下偏既能完全克服俯仰力矩曲线非线性上翘问题，又能较好地解决横侧向稳定性丧失问题。