Full mode flight dynamics modelling and control of stopped-rotor UAV

The Stopped-Rotor(SR) UAV combines the advantages of vertical take-off and landing of helicopter and high-speed cruise of fixed-wing aircraft. At the same time, it also has a unique aerodynamic layout, which leads to great differences in the control and aerodynamic characteristics of various flight modes, and brings great challenges to the flight dynamics modelling and control in full-mode flight. In this paper, the flight dynamics modelling and control method of SR UAV in full-mode flight is st...     

Lean blowout characteristics of spray flame in a multi-swirl staged combustor under different fuel decreasing rates

Lean Blow Out(LBO) poses a significant safety hazard when occurring in aero-engines.Understanding the lower stability limits of gas turbine combustors and the characteristics of spray flame close to LBO are imperative for safe operation. The objective of this work is to evaluate the effects of fuel decreasing rates and pressure drops of the injector on LBO performances in a multiswirl staged combustor equipped with an airblast injector. A set of hardware and control system was developed to reali...     

Experimental study on impact of roller imbalance on cage stability

This study presents a method for measuring the imbalance in a small-sized cylindrical roller. The roller imbalance was calibrated on the built static-pressure-air flotation measurement machine. The impact of the roller imbalance on the dynamic characteristics of a cage were then studied on the aero-bearing test rig. The displacement spectrums with different roller imbalance of the obtained cage orbits under various bearing speed and radial load were used to evaluate the cage stability. The results show that the cage cannot form a stable operating state at a lower bearing speed with or without the unbalanced rollers. The cage with balanced rollers gradually develops stable motion with the increase of the bearing speed. The existence of a small roller imbalance causes the stability of the cage to deteriorate. With an increase in the bearing speed and radial load, the cage with the unbalanced rollers runs unsteadily accompanied by a high-frequency vibration when the roller imbalance is large enough. The vibration amplitude of the cage in the horizontal direction is greater than that in the vertical direction during an unstable operation, which is similar in the stable status.     

双线圈高速开关阀的水击特性验证

高速开关阀是航天领域动力系统的关键元件,需要具备高频响和高可靠性。然而,高速开关阀的开关特性会使系统产生水击现象,降低系统的可靠性,尤其是在高速开关阀高频切换过程中会产生更多的水击压力波,致使系统中的水击变得更加复杂。因此,采用仿真和实验相结合的方法对不同频率下水击压力脉动的变化进行分析,最终通过对数据时域和频域的分析,发现了高速开关阀的水击压力脉动规律,研究结果可在航天动力系统中应用。     

考虑粗糙效应的航空高速滚子轴承动态模拟

耦合高速滚动轴承动力学理论和部分弹性流体动力润滑（PEHL）理论,提出了考虑轴承元件表面粗糙效应的高速滚动轴承动态特性分析方法。分析结果表明,轴承元件表面粗糙度和表面粗糙纹理方向对高速轴承的动力学特性有较大的影响,提高轴承元件表面加工质量可以抑制高速轴承元件在运行中出现的动态不稳定性现象;实验工作不仅支持了本文的分析,而且支持了高速滚动轴承是在混合润滑状态下工作的结论。      

某高速着陆无人机方向舵纠偏控制设计及性能分析

无人机高速着陆过程中,由于侧风或初始干扰导致的滑跑侧偏极其危险。基于高速状态下方向舵纠偏效率高的特点,建立某无人机高速着陆动力学模型,设计方向舵纠偏控制策略,并基于Matlab/Simulink平台建立无人机滑跑非线性动力学模型及方向舵纠偏控制模型;对具有初始1°偏航角和1m/s持续垂直侧风情况下的无人机着陆工况进行仿真分析,并通过控制着陆速度、着陆初始姿态角和侧风强度,分析纠偏控制系统的性能。结果表明:所设计的纠偏控制系统具有一定的航向纠偏和抗持续侧风能力,最大侧偏距小于3 m,偏航角小于5°,较好地实现了高速滑跑阶段的侧向纠偏性能。     

高速铣削TC21 钛合金的表面粗糙度

通过对TC21钛合金进行高速铣削加工试验,测量不同切削参数下的表面粗糙度.采用正交方法来安排试验和极差分析法对实验数据处理,分析了不同切削参数对粗糙度的影响.其中对TC21钛合金表面粗糙度影响最为显著的因素是每齿进给量,其次为切削深度和切削速率,最后为切削宽度.通过对粗糙度影响机理分析在加工中宜采用较小的进给量和切削深度、较大的切削速率和切削宽度.     

Nondestructive acquisition of the micro-mechanical properties of high-speed-dry milled micro-thin walled structures based on surface traits

Requirements for the service performance of aeronautic microelectronic components are increasingly strict. However, sever issues, that the acquisition of the service performance such as micro-mechanical properties is destructive, limit the subsequent application of the tested components. Addressing this issue, this paper proposes a nondestructive acquisition method of the micro-mechanical properties of the accelerometer micro-components, based on analyzing surface traits. To select qualified components without damage, we firstly developed a quasi-static micro-tensile tester and then established a combination prediction model of mechanical properties based on micro-milled surface traits. The model works due to the thin-walled structure, which makes the machined surface traits have significant influences on the mechanical properties such as Young’s modulus, yield strength, tensile strength, and elongation at break. Surface roughness, surface structure, and surface anisotropy are extracted to comprehensively present surface traits from different aspects. For improving the practicability of the model, the principal component analysis (PCA) is adopted to reduce high-dimensional traits explanatory variable space into two dimensions, and regression analysis models are comparative established in predicting the mechanical properties. Residuals analysis and error analysis are carried out to show the prediction accuracy. The maximum prediction error is about 10.62%, but the significance levels in the t-test of the predicted Young’s modulus and yield strength are not ideal. Therefore, kernel support vector regression (SVR) is imported to improve the prediction ability of the combination prediction model. The residuals analysis result shows that SVR is effective in enhancing the prediction ability of this model.