飞机飞行操纵优化研究

从战术飞行管理系统角度出发,在RJ—Ⅱ工程飞行模拟器的基础上,通过在模拟器座舱内安装的最优控制仪表及与其匹配的优化轨迹生成应用软件的设计,对飞机飞行的操纵优化进行了重点的探讨。     

Earth-moon Trajectory Optimization Using Solar Electric Propulsion

The optimization of the Earth-moon trajectory using solar electric propulsion is presented. A feasible method is proposed to optimize the transfer trajectory starting from a low Earth circular orbit (500 km altitude) to a low lunar circular orbit (200 km altitude). Due to the use of low-thrust solar electric propulsion, the entire transfer trajectory consists of hundreds or even thousands of orbital revolutions around the Earth and the moon. The Earth-orbit ascending (from low Earth orbit to high Earth orbit) and lunar descending (from high lunar orbit to low lunar orbit) trajectories in the presence of J2 perturbations and shadowing effect are computed by an analytic orbital averaging technique. A direct/indirect method is used to optimize the control steering for the trans-lunar trajectory segment, a segment from a high Earth orbit to a high lunar orbit, with a fixed thrust-coast-thrust engine sequence. For the trans-lunar trajectory segment, the equations of motion are expressed in the inertial coordinates about the Earth and the moon using a set of nonsingular equinoctial elements inclusive of the gravitational forces of the sun, the Earth, and the moon. By way of the analytic orbital averaging technique and the direct/indirect method, the Earth-moon transfer problem is converted to a parameter optimization problem, and the entire transfer trajectory is formulated and optimized in the form of a single nonlinear optimization problem with a small number of variables and constraints. Finally, an example of an Earth-moon transfer trajectory using solar electric propulsion is demonstrated.     

Aircraft flight parameter estimation using acoustic multipath delays

The signal emitted by an airborne acoustic source arrives at a stationary sensor located above a flat ground via a direct path and a ground-reflected path. The difference in the times of arrival of the direct path and ground-reflected path signal components, referred to as the multipath delay, provides an instantaneous estimate of the elevation angle of the source. A model is developed to predict the variation with time of the multipath delay for a jet aircraft or other broadband acoustic source in level flight with constant velocity over a hard ground. Based on this model, two methods are formulated to estimate the speed and altitude of the aircraft Both methods require the estimation of the multipath delay as a function of time. The methods differ only in the way the multipath delay is estimated; the first method uses the autocorrelation function, and the second uses the cepstrum, of the sensor output over a short time interval. The performances of both methods are evaluated and compared using real acoustic data. The second method provides the most precise aircraft speed and altitude estimates as compared with the first and two other existing methods.     

燃烧室主燃孔下游气膜绝热温比研究

对单个主燃孔射流下游的缝槽气膜绝热温比进行的实验研究中，采用了CO2传热传质类比方法测量气膜的绝热温比，考虑了三种气膜吹风比和两种主燃孔射流动量比，研究结果表明：主燃孔射的引入破坏了气膜的完整性，相对于正常气膜的绝热温比值，主燃孔射流正下游区域的气膜绝热温比大幅度下降，在横向偏离主燃孔射流较远的下游区域，气膜绝热温比有一定程度的下降；气膜吹风比对气膜绝热温比的下降有较大影响，而主燃孔射流对气膜绝热温比下降影响小。     

飞机急滚稳定性的一种简化分析方法

本文给出了预估飞机急滚全局稳定性的一种简化分析方法。该方法有两个特点;(1)所需气动数据少;(2)计算方法简单易行。算例表明,简化解与精确解在小迎角时吻合得极好,在大迎角时数值差异稍大,但变化趋势一致。此外,本文还分析了气动导数对急滚稳定性的影响,发现了平衡解的一些特殊变化。     

雨流法实时计数模型

介绍了一种新的雨流法实时计数模型.它的优点是计数简单,计数时不需要得到完整的载荷时间历程,也不需要对载荷时间历程作任何调整和修正,直接对载荷时间历程进行计数,克服了以往计数模型的局限性.该项研究已用于航空发动机,歼击机,主战坦克等载荷谱数据处理之中.     

－类非线性系统反馈镇定的充要条件

讨论－类非线性系统全局渐近反馈问题．文内通过构造显示状态反馈和使相应闭环系统全局渐近稳定的显示李氏函数，而得到了使系统全局渐近反馈镇定的充分必要条件．     

航天器结构动力模型修正中的缩聚方法

利用试验数据修正航天器结构动力模型时，使用缩聚方法使有限元自由度与试验自由度匹配。在总结Guyan缩聚法、改进缩聚系统法(IRS,Improved Reduction System)和模态缩聚法的基础上，该文独立导出了一种基于IRS的迭代缩聚方法。算例表明，迭代缩聚收敛速度较慢，但分析精度很高。     

三维裂纹混合型应力强度因子的测定

测定三维体内部裂纹前沿应力强度因子的分布，可搞清裂纹扩展规律，进行飞机结构的损伤容限设计，将反射焦散线法与应力冻结、解冻技术相结合，使焦散线法能够用于测量三维体裂纹尖端应力强度因子的分布，并综合使用光弹法和焦散线法和三维体裂纹混合型应力强度因子进行实验测定及分离。     

基于ABC-RBF神经网络的飞机燃油流量监测与故障诊断

为了检测飞机发动机的性能及故障,利用神经网络建立了燃油流量的预测模型,将人工蜂群（ABC）算法结合预测需求 在3维进行拓展,分别优化基于径向基函数（RBF）的神经网络泛化值和中心值,与经典RBF神经网络、K均值聚类算法等相比,3维拓展后的ABC算法对RBF神经网络进行的“反馈式更新”拥有更好的预测效果,其计算平均差值及预测误差更小,所需时间更短。随机选取短航程、中航程、长航程航班数据分别进行验证,结果表明：选择油门杆角度、飞行高度、马赫数、大气总温、发动机转速等参数能够反映发动机运行工况,预测效果理想;采用ABC算法对RBF神经网络进行优化后模型的更新能力较强,能够获得更高的预测精度,降低计算平均差值;通过航班故障数据验证了利用神经网络进行故障诊断的方法具有较大的实际应用价值。