Designing method of acceleration and deceleration control schedule for variable cycle engine

Studies show that different geometries of a Variable Cycle Engine (VCE) can be adjusted during the transient stage of the engine operation to improve the engine performance. However, this improvement increases the complexity of the acceleration and deceleration control schedule. In order to resolve this problem, the Transient-state Reverse Method (TRM) is established in the present study based on the Steady-state Reverse Method (SRM) and the Virtual Power Extraction Method (VPEM). The state factors in the component-based engine performance models are replaced by variable geometry parameters to establish the TRM for a double bypass VCE. Obtained results are compared with the conventional component-based model from different aspects, including the accuracy and the convergence rate. The TRM is then employed to optimize the control schedule of a VCE. Obtained results show that the accuracy and the convergence rate of the proposed method are consistent with that of the conventional model. On the other hand, it is found that the new-model-optimized control schedules reduce the acceleration and deceleration time by 45% and 54%, respectively. Meanwhile, the surge margin of compressors, fuel–air ratio and the turbine inlet temperature maintained are within the acceptable criteria. It is concluded that the proposed TRM is a powerful method to design the acceleration and deceleration control schedule of the VCE.     

复杂终端区进场交通流优化排序方法研究

为提高终端区时空资源利用率,增强空中交通 运行效率,研究了复杂终端区进场交通流优化排序问题。通过深入剖析终端区进场定位点、 航路航线、多跑道系统等资源运行特性,综合考虑尾流间隔、移交间隔、多跑道运行间隔等 各类约束限制,以及最小化航班延误时间、最大化跑道运行容量、最小化终端区飞行时间等 优化目标,建立了复杂终端区进场交通流优化排序模型,并采用带精英策略的非支配排序遗 传算法对所建模型进行求解。选取上海多机场组成的复杂终端区进行实例验证,仿真实验表 明提出的优化方法相比先到先服务方法(First come first serve,FCFS),航班总延误时间 减少20.7%,终端区等待时间减少60.7%,终端区进场交通流运行效率得到显著提升。     

航天器声试验ISO国际标准制定过程及启示

标准国际化是助推中国航天国际化发展战略转型重要途径。针对航天器声试验技术成果,通过积极推动其向国际标准转化,最终使其立项并成为ISO 19924《空间系统——声试验》的国际标准。该标准是在航天器环境试验领域首个由中国发起、起草和主导的国际标准。文章将介绍声试验技术成果向国际标准转化的过程和方法,以分享经验,为我国积极参与国际标准化活动,提高标准国际化水平提供借鉴。     

BP神经网络反演核事故源项中重要参数的研究

核事故发生时,可靠、准确的源项信息能为应急防护行动措施决策提供数据支持。采用Matlab软件神经网络工具箱可以实现基于BP神经网络的核事故源项反演,为提高核事故源项反演计算的准确度,针对反演时的几个重要参数进行研究,包括隐含层节点数、训练函数、学习率和隐含层数。研究结果表明,在单隐含层神经网络结构情况下,存在着最优隐含层节点数,综合考虑训练时间和误差,本文选取隐含层节点数为50来对其他参数影响进行进一步研究;在相同参数设置条件下,训练函数Trainlm比Traingdm更适合数据量较小时的核事故源项反演,反演计算准确度更高,在节点数为50时训练时间缩短了近35%;高学习率以及双隐含层能有效地提高核事故源项反演的精度,但训练时间相对增加。     

基于遥测数据的卫星在轨飞行温度仿真算法研究

研究一种基于遥测数据的卫星在轨飞行温度仿真计算方法,以卫星热控边界温度遥测参数作为仿真计算模型基准温度参数,挖掘星上设备温度与安装边界（热控边界）温度之间的数值定量关系,形成卫星温度关系数值矩阵。通过基准温度遥测数据与卫星温度关系数值矩阵之间数值运算,实现卫星在轨飞行温度仿真预计,计算误差小于2.5℃。     

Aerodynamic design of tractor propeller for high-performance distributed electric propulsion aircraft

Aiming to maximize the aerodynamic performance of the Distributed Electric Propulsion (DEP) aircraft, a hybrid design framework which focuses on the aerodynamic performance of the propeller/wing integration has been developed and validated numerically. Variable-fidelity modelling for propeller aerodynamics has been used to achieve computational efficiency with reasonable accuracy. By optimizing the aerodynamic loading distributions on the tractor propeller disk, the induced slipstream is redistributed into a form that is beneficial for the wing downstream, based on which the propeller blade geometry is generated through a rapid inversed design procedure. As compared with the Minimum Induced Loss (MIL) propeller at a specified thrust level, significant improvements of both the lift-to-drag ratio of the wing and the propeller/wing integrated aerodynamic efficiency is achieved, which shows great promise to deliver aerodynamic benefits for the wing within the propeller slipstream without any additional devices.     

A two-step robust adaptive filtering algorithm for GNSS kinematic precise point positioning

In kinematic navigation and positioning, abnormal observations and kinematic model disturbances are one of the key factors affecting the stability and reliability of positioning performance. Generally, robust adaptive filtering algorithm is used to reduce the influence of them on positioning results. However, it is difficult to accurately identify and separate the influence of abnormal observations and kinematic model disturbances on positioning results, especially in the application of kinematic Precise Point Positioning (PPP). This has always been a key factor limiting the performance of conventional robust adaptive filtering algorithms. To address this problem, this paper proposes a two-step robust adaptive filtering algorithm, which includes two filtering steps: without considering the kinematic model information, the first step of filtering only detects the abnormal observations. Based on the filtering results of the first step, the second step makes further detection on the kinematic model disturbances and conducts adaptive processing. Theoretical analysis and experiment results indicate that the two-step robust adaptive filtering algorithm can further enhance the robustness of the filtering against the influence of abnormal observations and kinematic model disturbances on the positioning results. Ultimately, improvement of the stability and reliability of kinematic PPP is significant.     

Full blended blade and endwall design of a compressor cascade

In the current state-of-the-art, high-loss flow in the endwall significantly influences compressor performance. Therefore, the control of endwall corner separation in compressor blade rows is important to consider. Based on the previous research of the Blended Blade and EndWall (BBEW) technique, which can significantly reduce corner separation, in combination with a non-axisymmetric endwall, the full-BBEW technique is proposed in this study to further reduce the separation in endwall region. The principle of the unchanged axial passage area is considered to derive the geometric method for this technique. Three models are further classified based on different geometric characteristics of this technique: the BBEW model, Inclining-Only EndWall (IOEW) model, and full-BBEW model. The most effective design of each model is then found by performing several optimizations at the design point and related numerical investigations over the entire operational conditions. Compared with the prototype, the total pressure loss coefficient decreases by 7%–9% in the optimized full-BBEW at the design point. Moreover, the aerodynamic blockage coefficient over the entire operational range decreases more than the other models, which shows its positive effect for diffusion. This approach has a larger decrease at negative incidence angles where the intersection of the boundary layer plays an important role in corner separation. The analysis shows that the blended blade profile enlarges the dihedral angle and creates a span-wise pressure gradient to move low momentum fluid towards the mainstream. Furthermore, the inclining hub geometry accelerates the accumulated flow in the corner downstream by increasing the pressure gradient. Overall, though losses in the mainstream grow, especially for large incidences, the full-BBEW technique effectively reduces the separation in corners.     

面向绕月交会对接的同波束VLBI研究

针对"嫦娥5号"(CE-5)探测器间高精度相对测量需求,设计了我国深空干涉测量处理中心框架下的同波束VLBI处理算法,分析了X波段同波束VLBI相位解模糊条件和结果;通过引入群时延辅助的相位干涉技术,大幅抑制了干涉时延随机误差,为同波束VLBI中相位解模糊提供了先验条件;利用CE-5对接实测数据验证了本文工作的有效性,为CE-5任务同波束VLBI的实施奠定了基础。