减速器等效试车大纲瞬态循环次数的当量计算研究

直升机传动系统主、尾减速器等传动部件的寿命考核,大量采用等效试车方法进行,对试车大纲中的瞬态载荷循环次数的当量处理是编制大等效比试车大纲的主要困难。本文采用MINER线性累积损伤法则,提出了一种有效的处理方法。并在Z9国产化尾减速器的1:1长试大纲的编制和考核中得到成功的应用。     

基于加速度计和角速率陀螺的超小无人直升机姿态控制系统

设计了一种基于加速度计和角速率陀螺的超小型无人直升机姿态控制系统;由卡尔曼滤波算法融合加速度计和陀螺数据,实时估计最优的直升机姿态信号;根据最优的姿态反馈信号,飞行控制系统采用参数自整定的模糊PID控制方法得到舵机控制信号,从而实现了超小型无人直升机的姿态控制。     

直升机动力传动链扭振稳定性和响应计算研究

本文建立了直升机动力传动链与发动机全权数控系统耦合的动力学有限元模型,研究了其稳定性,并建立了一种计算其扭振瞬态响应的方法,经试验结果验证表明具有较高的预测精度.     

直升机舱内噪声主动控制技术研究

随着社会的发展和科学技术的进步,驾乘人员对直升机的舒适性提出了更高的要求,该要求使舒适性成为直升机产品竞争性的要素之一.而将直升机舱内振动与噪声保持在较低的水平则是满足舒适性的重要条件.本文针对直升机舱内噪声主动控制的研究进展进行了概述.首先简要介绍了直升机舱内噪声的产生与频谱特征,以及常见的噪声控制方法;之后针对主动噪声控制进行了分类,分别按照主动消声控制技术和主动结构声振控制技术进行了归纳总结,并讨论了所采用主动控制律的发展趋势;最后对直升机舱内噪声主动控制的发展进行了展望.     

A novel high-order scheme for numerical simulation of wake flow over helicopter rotors in hover

Accurate prediction of tip vortices is crucial for predicting the hovering performance of a helicopter rotor. A new high-order scheme(we call it WENO-K) proposed by our research group is employed to minimize numerical dissipation and extended to numerical simulation of unsteady compressible viscous flows dominated by tip vortices over hovering rotors. WENO-K is referred to as an adaptively optimized WENO scheme with Gauss-Kriging reconstruction, and its advantage is to reduce dissipation in smoo...     

直升机贴地飞行时的驾驶员诱发振荡研究

主要阐述直或机贴地飞行时的驾驶员诱发振荡问题，导出了贴地突防和迅速停止动作、地形跟踪时的“海豚”运动和贴地飞行时滑雪运动条件下诱发振荡时操纵位移和稳定裕度的计算公式，计算了Ｚ－８直长机的纵向试验结果，并进行了误差分析。计算结果表明，所研究的方法是可行的，可推广应用于各种直升机的闭环分析和计算。     

Numerical study on flow control of ship airwake and rotor airload during helicopter shipboard landing

A numerical study on flow control of ship airwake during shipboard landing is carried out to address the effect of flow control devices on helicopter rotor airload. The in-house Reynolds Averaged Navier-Stokes (RANS) based solver Rotorcraft AeroDynamics and Aeroacoustics Solver (RADAS), with combination of momentum source approach is employed to conduct the helicopter shipboard landing simulation. The control effects of three aerodynamic modifications of ship superstructure, i.e. ramp, notch and flap, in different Wind-Over-Deck (WOD) conditions are discussed. From the steady simulation results, the effect of spatial variation of ship airwake on rotor airloads is concluded. The aerodynamic modifications reduce the strength of shedding vortex and increase rotor normal force through delaying and relieving flow separation, and therefore are beneficial to alleviate the limitation of control inputs. By contrast, the perturbation of unsteady ship airwake can cause the serious oscillation of rotor forces during shipboard landing. The unsteady simulations show that the turbulence intensity of ship airwake and oscillatory rotor airloading, represented by Root-Mean-Square (RMS) loading, can be remarkably reduced by the ramp and notch modifications, while the flap modification has adverse effect. It means that flow control devices have large potential benefits to alleviate the pilot’s workload and improve the shipboard landing safety, but they should be well designed to avoid the introduction of more vortex, which leads to increase in disturbance of flow field.     

A multi-criteria fusion feature selection algorithm for fault diagnosis of helicopter planetary gear train

Planetary gear train is a prominent component of helicopter transmission system and its health is of great significance for the flight safety of the helicopter. During health condition monitoring, the selection of a fault sensitive feature subset is meaningful for fault diagnosis of helicopter planetary gear train. According to actual situation, this paper proposed a multi-criteria fusion feature selection algorithm (MCFFSA) to identify an optimal feature subset from the high-dimensional original feature space. In MCFFSA, a fault feature set of multiple domains, including time domain, frequency domain and wavelet domain, is first extracted from the raw vibration dataset. Four targeted criteria are then fused by multi-objective evolutionary algorithm based on decomposition (MOEA/D) to find Proto-efficient subsets, wherein two criteria for measuring diagnostic performance are assessed by sparse Bayesian extreme learning machine (SBELM). Further, F-measure is adopted to identify the optimal feature subset, which was employed for subsequent fault diagnosis. The effectiveness of MCFFSA is validated through six fault recognition datasets from a real helicopter transmission platform. The experimental results illustrate the superiority of combination of MOEA/D and SBELM in MCFFSA, and comparative analysis demonstrates that the optimal feature subset provided by MCFFSA can achieve a better diagnosis performance than other algorithms.     

用EXCEL—VB建立一个实用的程序库

本文介绍了一个以EXECL和EXCEL VB建立的直升机实用程序库及其建立和使用方法。     

全机静力试验控制软件的协调自动控制加载方法

本文介绍了在全机静力试验利用计算机自动控制进行协调加载时,控制软件如何控制飞机姿态;试验加载载荷分配的方法;在各个试验阶段加载分别采取什么样控制方法及在试验过程中人工干予措施等。