Optimal deployment schedule of an active twist rotor for performance enhancement and vibration reduction in high-speed flights

The best active twist schedules exploiting various waveform types are sought taking advantage of the global search algorithm for the reduction of hub vibration and/or power required of a rotor in high-speed conditions.The active twist schedules include two non-harmonic inputs formed based on segmented step functions as well as the simple harmonic waveform input.An advanced Particle Swarm assisted Genetic Algorithm (PSGA) is employed for the optimizer.A rotorcraft Computational Structural Dynamics (CSD) code CAMRAD Ⅱ is used to perform the rotor aeromechanics analysis.A Computation Fluid Dynamics (CFD) code is coupled with CSD for verification and some physical insights.The PSGA optimization results are verified against the parameter sweep study performed using the harmonic actuation.The optimum twist schedules according to the performance and/or vibration reduction strategy are obtained and their optimization gains are compared between the actuation cases.A two-phase non-harmonic actuation schedule demonstrates the best outcome in decreasing the power required while a four-phase non-harmonic schedule results in the best vibration reduction as well as the simultaneous reductions in the power required and vibration.The mechanism of reduction to the performance gains is identified illustrating the section airloads,angle-of-attack distribution,and elastic twist deformation predicted by the present approaches.     

基于模糊控制的空气悬架模型建立

空气悬架以其优良的减振性能，在汽车振动控制中得到越来越广泛的应用。本文以空气悬架为研究对象，构建了带附加空气室空气悬架系统的1／4车辆振动模型；分析了空气悬架刚度调节原理和控制特性，本文采用了不依赖于被控对象精确数学模型的模糊控制策略进行空气悬架控制器的设计。     

无人机载光电平台无角位移减振器研究进展

论述了无人机光电平台无角位移减振器的研究现状及发展趋势,对多种现有减振器做了简要的分析,并着重提出了高精度小型化无角位移减振器的研制思路.     

阻尼陀螺系统动力响应的有限元复模态分析方法

采用复模态分析方法研究了陀螺系统及具有粘性阻尼的陀螺系统的动力响应及其数值分析方法,提出了陀螺模态阻尼比的概念,实现了利用有限元结构分析软件对诸如薄壁旋转轴和转动薄壁壳体等各类形式的复杂旋转薄壁结构进行动力特性分析的目的,讨论了不同条件(单点旋转简谐激励和沿圆周呈周波型分布的激励)条件下转动薄壁壳体结构的行波振动特点.      

基于EMD及PNN的航天器振动环境分析

针对航天器非平稳随机振动信号模态频率密集的特点,提出了基于经验模式分解EMD (Empirical Mode Decomposition)的多分量过程神经网络PNN(Process Neural Network)自回归模型.通过EMD对原始时间序列进行分解, 使之成为一组不同尺度的局部正交本征模函数IMF(Intrinsic Mode Functions),利用PNN对每个IMF分别进行时变参数分析并以此确定其时变自功率谱密度,对所有分量的时变自功率谱密度通过叠加进行重构, 以此得到原始信号的时变自功率谱密度.仿真结果和实例分析表明:和传统的时频分析法相比,该方法直接使用信号数据,避免了相关估计计算,减小了计算工作量;无交叉干扰项,提高了信号的时频分布特性,具有较高的时频分辨率;对各工况下航天器的振动信号能有效的进行分析,具有较强的信号特征提取能力.      

挠性卫星轨控期间动力学与姿态控制

卫星轨道控制期间,轨道控制推力会激振挠性太阳帆板,从而也影响卫星的姿态。用拉格朗日方程建立了带有大型太阳帆板的卫星动力学模型,分析了卫星质心运动、姿态运动与挠性振动的耦合关系。根据姿态控制推力器的输出特性,设计了轨道控制期间卫星姿态控制方案。通过数学仿真验证了轨道控制推力对挠性帆板与卫星姿态的影响,验证了轨控期间姿态控制方案的有效性。     

Geomagnetic effects on mid-latitude railways: A statistical study of anomalies in the operation of signaling and train control equipment on the East-Siberian Railway

Intense geomagnetically induced currents (GIC) can hamper rail traffic by disturbing signaling and train control systems. GIC threats have been a concern for technological systems at high-latitude locations due to geomagnetic disturbances driven by substorm expansion electrojet or convection electrojet intensifications. However, other geomagnetic storm processes such as storm sudden commencement (SSC) and geomagnetic pulsations can also cause GIC concerns for technological systems. We present in this paper the first evidence based on statistical data for links between geomagnetic disturbances and faulty operations (anomalies) in the functioning of railway automatics and telemetry. We analyze anomalies of automatic signaling and train control equipment which occurred in 2004 on the East-Siberian Railway (corrected geomagnetic latitude _m = 46–51°N and longitude λ_m = 168–187°E). Our results reveal a seasonal effect in the number of anomalies per train similar to the one observed in geomagnetic activity (Kp, Ap, Dst indices). We also found an increase by a factor of 3 in the total duration of daily anomalies during intense geomagnetic storms (local geomagnetic index specific to Siberian Observatory A_max > 30), with a significant correlation between the daily sum of durations of anomalies with geomagnetic activity. Special attention was paid to failures not related to recognized technical malfunctions. We found that the probability of these failures occurring in geomagnetically disturbed periods was 5–7 times higher than the average anomaly occurrence.     

失调对叶片-轮盘耦合系统振动影响的预测

叶片 -轮盘系统的周期对称性经常由于制造、材料,以及非均匀磨损和其它因素而被破坏,引起系统出现失调现象,表现为结构特性的微小变化可能导致叶片振幅和响应的急剧增大。而失调也导致此类周期对称性结构振动特性计算的复杂化。利用有限元通用程序和模态综合技术,建立失调叶片 -轮盘耦合系统三维有限元模型,对一个有1 6个叶片的叶片 -轮盘耦合系统进行了振动特性计算分析,给出了叶片分散度和耦合度对振动特性的影响。     

含不确定参数的复合材料板振动的 区间分析法

提出了求解具有不确定参数的复合材料板的振动固有频率区间分析法.区间分析法利用区间数学和泰勒定理,把不确定变量简化为区间向量.这样可以在较少的结构信息的情况下确定结构响应的变化区间.在样本比较小,概率统计特性缺乏,从而通常的概率统计方法不能有效应用时,区间分析仍然有效. 对复合材料板的振动固有频率的区间法公式进行了推导,并用2个数值例子与凸模型方法的解进行比较.结果表明区间分析法比凸模型方法的解区间小.      

虚拟振动环境试验的初步尝试

文章介绍了一种新型振动试验仿真技术--虚拟振动环境试验.通过这门技术可以达到减少产品设计的盲目性、优化试验设计、缩短研制周期和节约经费的目的.