压电主动杆Maxwell动力学建模与鲁棒H∞控制研究(英文)

未来高性能航天器迫切需要基于压电作动的主动减振控制。针对压电作动器和检波器组成的主动杆系统,基于控制目的,推导了作动器Maxwell动力学模型,为了更好的反映检波器噪声和低频较差性能带来的影响,采用同价的SUITE动杆的系统辨识模型设计了H∞控制器,仿真结果表明H∞控制器对100Hz的正弦扰动有效隔离73% (11.4dB),对频带250Hz的白噪声有效隔离70%     

基于ADF4153的频率合成器设计

设计实现一种基于ADF4153的频率合成器,介绍该频率合成器的构成原理。结合测试结果对本频率合成器进行相位噪声性能分析和杂散分析,并提出相应的改善措施。利用软件仿真对环路的稳定性进行分析。测试及分析结果表明,本频率合成器相位噪声水平可达-96.59dBc@10kHz,杂散抑制大于45dBc,频率合成器环路工作稳定。     

背景噪声和脉冲干扰下的SDH误块性能

误码性能是光纤数字传输系统的重要性能指标,而通常光同步数字传输系统(SDH, Synchronous Digital Hierarchy)又以误块性能来衡量其误码性能.通过分析光同步数字传输系统在背景噪声(用泊松分布来描述)和脉冲干扰(用A型传染病分布来描述)影响下的系统误块性能,推导出了泊松分布和传染病分布下误块率的一般关系式.      

直接扩频通信系统中最小误码率准则下的特征相消器

首先研究最小误码率准则下的特征相消器,再由最小化误码率（MBER）准则和约束条件的最小均值输出能量（MMOE）准则之间存在的关系,将MBER准则下特征相消器的设计转化为约束条件的MMOE下的干扰抑制器的设计,并利用子空间跟踪算法实现MMOE准则下的干扰抑制器。仿真表明,采用子空间跟踪算法比同准则下的RLS算法有更低的计算量和更好的抗干扰效果。     

Operational modal parameter identification with colored noise excitation

Operational Modal Analysis (OMA) refers to the modal analysis of a structure in its operating state. The advantage of OMA is that only the output vibration signal of a system is used in the analysis process. Classic OMA is based on the white noise excitation assumption and many identification methods have been developed in both time domain and frequency domain. But in reality, many environmental excitations are not compliance with the white noise assumption. In this paper, a method of half power bandwidth analysis is applied to power spectrum analysis to deal with the colored noise and trapezoidal spectral excitation. The modal frequencies and modal damping ratios are derived and the error caused by trapezoidal spectral and colored noise excitation are analyzed. It is proved that the OMA algorithm based on the white noise assumption can be extended to the colored noise environments under certain conditions. Finally, a simulation example with a cantilever beam and a vibration test with four kinds of colored noise and trapezoidal spectrum base excitation are carried out and the results support the proposed method.     

一种改进的声反卷积相关声源定位方法

基于传声器阵列的声源定位算法的性能优劣决定了气动噪声试验检测中气动噪声源定位成像的准确性。为了提高相关声源定位方法的稳健性和准确性，提出一种改进的声反卷积相关声源定位方法——D-MACS（Developed-Mapping of Acoustic Correlated Sources）方法。该方法的特点是：在传统MACS方法的基础上，将声反卷积模型进行改进，使模型体现出声场空间扫描点声压互谱矩阵与互谱波束形成输出矩阵之间的数学关系，其最终获得的声源定位结果，能够提高MACS方法声源定位辨识的稳健性和准确性。通过仿真信号研究和声学风洞环境中的声源定位试验研究，比较了DAS（Delay And Sum beamformming）、DAMAS-C（Deconvolution Approach for the Mapping of Acoustic Correlated Sources）、MACS和D-MACS这4种方法的声源定位性能，验证了D-MACS方法在声源定位性能上的优势。     

An adaptive integration surface for predicting transonic rotor noise in hovering and forward flights

In this paper, a new permeable adaptive integration surface is developed in order to evaluate transonic rotor noise in accordance with FW-H_pds equations(Ffowcs Williams-Hawkings equations with penetrable data surface). Firstly, a nonlinear near-field solution is computed on the basis of Navier-Stokes equations, which is developed on moving-embedded grid methodology.The solution calculated through the present CFD method is used as the input for acoustic calculations by FW-H_pds equations. Then, two criteria for constructing integration surfaces are established based on the analysis of the quadrupole source strength and the nonlinear characteristic.A new surface is determined adaptively by the pressure gradient or density in a given flowfield,eschewing the uncertainties associated with determining cylinder-shaped integration surfaces. For varying hover cases, transonic noises are simulated with new integration surfaces for a UH-1 model rotor. Furthermore, numerical results of the new integration surface derived from the density perturbation value conform better to experimental data than results derived from the pressure gradient.Finally, the integration surface given by jrqj being 0.1, which is an applicable criterion obtained from hover cases, is used to predict transonic rotor noise in forward flight. The computational accuracy of the new integration surface method has been validated in predicting transonic rotor noise of an AH-1 model rotor at different advance ratios.     

中继卫星系统仿真软件设计与应用*

设计开发中继卫星系统仿真软件,并针对理想信道条件、I/Q幅相不平衡、幅频特性、群时延、相位噪声、功放饱和条件、非线性信道条件这七种信道,仿真16QAM和16APSK的误码率性能,并对仿真结果进行分析。利用仿真平台得出的非线性信道条件下误码率需求与所需信噪比之间的关系,可以作为完善系统技术指标的重要依据,为中继卫星系统后续建设和应用提供重要参考。     

分布式波浪前缘静子叶片对单级轴流风扇单音噪声影响的数值研究

为了适应逐年严苛的适航噪声标准，改善飞机噪声环境，突破航空发动机降噪技术的瓶颈，有必要开发新的降噪手段以指导叶轮机械降噪设计。本文采用URANS与FW-H方程混合方法，通过将波浪前缘构型运用在叶片流动损失较大、声源强度较强的部分后，进一步观察其气动性能和降噪效果。研究表明：与基准叶片相比，分布式波浪前缘静子叶片可以在1BPF（Blade Passing Frequency）时降低风扇入口声功率级0.67~1.9dB，2BPF时降低风扇入口声功率级1.87~4.18dB，3BPF时降低风扇入口声功率级2.4~6.8dB，同时，总压比最高提升0.027%，等熵效率最高提升0.28%。因此，分布式波浪前缘静子叶片在叶轮机械降噪方面有很好的运用前景。     

用自联想网络处理带噪声的发动机数据

研究了用自联想网络(AANN)进行数字滤波的方法。自联想网络采用一种带有瓶颈层的特殊结构，且具有单位总增益。在经过大量带噪声样本的训练之后，各变量之间能够建立起内在联系。输入信息通过瓶颈层前的压缩及瓶颈层后的解压缩过程，信息中的精华将被提取，从而使人们能够利用冗余信息抑制其测量噪声，使发动机测量参数在最大程度上减少噪声对其带来的负面影响。