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.     

扩压叶栅最佳弯叶片生成线与进口马赫数之间的关系

为了研究扩压叶栅最佳弯叶片生成线与叶栅进口马赫数之间的关系,用优化的方法,在八个不同进口马赫数下对弯叶片生成线(积叠线)的弯角和弯高进行优化,优化的目标函数为叶栅总压损失系数。结果表明:在同一弯角下,弯叶片总压损失系数随弯高的增大而减小,弯高为50%时总压损失系数最小,最佳弯叶片生成线的弯高为50%。在同一弯高下,总压损失系数随弯角增大呈现类似抛物线的形式的变化规律,存在着一个最佳弯角使总压损失系数最小。在不同进口马赫数下,最佳弯角随着进口马赫数的增加而增大,通过三次多项式曲线拟合得到了一个相对准确的最佳弯角与进口马赫数之间的关系。     

三维内转式进气道对双旁进气飞行器力矩特性的影响分析

为了研究三维内转式进气道对飞行器力矩特性的影响规律,对一系列设计状态为Ma=6.5的内转式进气道展开力矩特性研究。对不同布局形式,进气形式以及基准流场中心体的内转式进气道对飞行器力矩特性的影响展开分析研究。研究结果表明,对于内转式进气道而言,有连接板的水滴型进气道双侧布局力矩特性较优,且容易满足飞行器总体需求;布局形式对进气道的力矩特性影响最显著,进气形式对侧滑力矩的影响比基准流场中心体影响更明显,而抬头力矩和滚转力矩受基准流场中心体影响更加突出;中心体在0~0.1Rs(Rs为基准流场入口半径)变化时,抬头力矩变化不大,而在0.1~0.2Rs抬头力矩变化明显。     

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...     

STK三维模型制作与优化方法研究

为建立逼真的三维模型,在STK(卫星工具包)软件中进行任务仿真,讨论了直接获取mdl格式模型、编写mdl文件、转换模型等3种STK模型制作方法,并对这几种制作方法的优缺点进行了分析。针对不同制作方法带来的模型问题,重点探讨了组件层次调整、形状修改、显示效果优化、动作关节优化、特效设置等5种mdl格式模型优化方法。通过实例说明5种优化方法的优化效果,结果表明相关方法能有效地优化模型。     

地下原油无缆电加热系统可靠性措施的计算机仿真与优化 …

本文根据给定的油井地质资料，用计算机对其进行拟合再现，着重讨论了井下原油无缆电加热系统的可靠性措施及其计算机仿真与优化决策方法。     

浅析俄罗斯战斗机CY—37“金雕”前掠翼三翼面气动布局的先进性

本文追溯了前掠翼的飞机的渊源。指出常规二翼面的后掠翼，变后翼和近矩耦合鸭式气动布局存在着妨碍机动进一步提高的缺点。     

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％。     

改进的遗传算法在模块化考试自动组卷中的应用

自动组卷是典型的多目标优化问题,针对软件工程等科目存在模块化的特点,建立了试题库及多目标优化组卷模型,对不同的目标根据其重要性采用不同的权重系数,将多目标优化问题转化为单目标优化问题,使用了遗传算法进行求解,根据约束条件存在着硬约束与软约束条件,改进了可行解的产生方法,求解过程中采用精英策略对种群进行选取,并对交叉、变异算子进行优化。经实际测试,组卷成功率与算法的收敛速度均可达到自动组卷的要求。