平流层飞艇气动外形优化设计:螺旋桨的影响

建立综合螺旋桨影响的平流层飞艇气动外形优化设计平台.采用Hicks-Henne型函数法参数化艇身轮廓，发展IDW-TFI混合动网格技术实现变形网格高效生成；基于作用盘理论模拟螺旋桨，建立飞艇流场高效数值求解方法.以LOTTE飞艇作为初始外形，阻力系数最小为目标，飞艇体积作为约束条件，通过NLPQL算法寻优获得最佳艇身设计方案.优化后飞艇的尾部形状较平坦，艇身最大横截面位置前移，气动性能得到明显改善，其阻力系数相对于初始外形降低了26.88%.     

Designing optimal long-period fiber gratings with the overlapped Gaussian-apodization method for flattening EDFA gain spectra

A new and effective optimization approach to the inverse design problems of complex long-period fiber grating (LPG) filters was developed in the present study. The proposed synthesis method was based on the overlapped Gaussian-apodization method and the evolutionary optimization algorithm which can efficiently search for optimal solutions and simultaneously take into account various experimental requirements for the fabrication of the designed filters. To verify the effectiveness of the proposed method, a LPG filter for flattening EDFA gain spectra was designed. Compared to the existing results from discrete layer-peeling (DLP) inverse scattering algorithms, an LPG filter with adaptive grating lengths and much simpler, smoother, and less complicated coupling coefficient profiles for taking the practical fabrication conditions for gain flattening into account, was used in the proposed method. Simulation results confirm that optimal solutions of an LPG filter design are suitable for practical fabrication.     

基于Kriging代理模型的飞行器结构刚度气动优化设计

大飞机具有轻质大柔性特点,使得气动/结构耦合作用增强,在设计过程中需要考虑这种耦合效应,直接调用CSD/CFD方法计算周期长,无法满足工程需要.代理模型方法由于能显著提高工程优化设计的效率,已广泛应用于飞行器气动外形优化设计中.采用Kriging方法建立代理模型,通过求解EI函数最大值得到需添加的样本点以更新代理模型,提高代理模型的拟合精度,结合改进的粒子群最优化方法对大飞机的结构刚度进行了优化设计.结果表明,该优化方法能够处理复杂目标的全局优化问题,在保证升力系数及纵向稳定性能不恶化的前提下,降低飞机巡航状态的飞行阻力.      

DIRECT算法在PMD补偿中的应用

第一次把DIRECT算法用于偏振模色散补偿中作为反馈控制算法的第一部分,来寻找初始的全局最优解。用著名的Hartman6函数的返回值模拟偏振度的测量值,给出了DIRECT算法对Hartman6函数全局最优解的寻找过程,通过与其它几种全局最优化算法的比较,对DIRECT算法进行了初步的评价。     

应用分割矩阵全局优化算法设计用于编码孔径成像的二维阵列

二维编码阵列是编码孔径成像的关键部件,它直接决定着再现的层析图像的质量。目前仍没有一种理想的二维阵列既具有较高的量子收集率,又具有良好的层析成像特性。采用一种新的方法———分割矩阵(DIRECT)全局优化算法,设计二维阵列,该算法适用于多变量“黑盒”问题的求解,并且具有比其他优化算法更快的收敛速度。其目的是设计一类自相关函数旁瓣最大值为1,同时具有最大填充率的二维编码阵列。理论分析及实验结果表明:用该算法搜索得到的二维阵列既具有较高的量子收集率,又具有良好的层析成像特性。     

包含源与负载耦合的滤波器诊断与调试方法

柯西法目前仅适用于诊断不包含源与负载耦合的带通滤波器。为解决这一问题,提出了一种能够诊断包含源与负载耦合的带通、带阻谐振腔滤波器的方法。利用遗传算法优化获得源与负载耦合系数并移除滤波器输入/输出端口处传输线引起的S参数的相位加载效应;使用柯西法一步确定仿真S参数对应的特征多项式;从获得的源与负载耦合系数和特征多项式中,利用已有的技术诊断出N+2阶耦合矩阵。此方法可用于指导滤波器的调试,通过对比理想的耦合矩阵与提取的耦合矩阵之间的差异,可确定滤波器问题出自何处以及调试的方向,从而加快滤波器的设计与实现。     

Design, simulation and structural optimization of a longitudinal acoustic resonator for trace gas detection using laser photoacoustic spectroscopy (LPAS)

The design of the acoustic resonator is critical for the optimization of the sensitivity of laser photoacoustic spectroscopy (LPAS) in trace gas detection applications. In this paper, an LC circuit model is used for the simulation of a 1D acoustic resonator. This acoustic resonator is designed for CO photoacoustic spectroscopy. The effects of the structural parameters, quality factor and resonant frequency on the performance of the device are theoretically analyzed. The role of the buffer volume as an acoustic filter is investigated and optimized dimensions of the buffer volume, to achieve minimum noise transmission coefficient, are calculated. The effects of the ambient temperature, variety of pressure and gas flow velocity on the resonant frequency of photoacoustic resonator and PA signal are simulated. The temperature dependence of the microphone sensitivity is also introduced.     

电动水上飞机低噪声螺旋桨翼型优化

为降低翼型的气动噪声,以某型电动水上飞机螺旋桨所使用的RAF-6翼型为研究对象,首先通过CFD/FW-H方法计算得到翼型的升、阻力系数以及气动噪声;其次使用型函数线性叠加描述翼型的几何形状;进而,为使翼型获得设计状态下较好的声学与气动性能,由翼型的气动噪声与升阻比构成优化目标,以型函数系数为变量,以保证翼型升、阻力系数变化不超过10%为约束,使用引入响应面模型的遗传算法对翼型进行降噪优化。通过优化翼型与基准翼型的对比可知,设计状态的优化翼型气动噪声声压级降低了2.17 dB,升阻比提高1.12%,且优化翼型在小攻角状态下具有较为优异的声学与气动性能。优化结果表明,该优化方法具有一定应用价值,可为螺旋桨噪声控制研究提供参考。     

微尺度色谱通道截面形状优化

本文将基于体积平均方法的理论模型与拓扑优化工具结合,以减小弥散系数为优化目标对微尺度色谱通道的截面形状进行了优化。优化结果表明色谱通道截面形状优化可以明显削弱通道内弥散过程。优化得到的截面形状明显不同于常见的矩形截面,具体形状取决于流动阻力系数的数值,流动阻力系数越大,截面的宽高比越大。将优化截面用于微尺度色谱设计可以显著改善分离速度及分离精度。     

Design of a negative group delay filter via reservoir computing approach: Real-time prediction of chaotic signals

An optimal arbitrary order filter with negative group delay is proposed for a real-time prediction of complex band-limited signals. The filter consists of a set of second-order linear dissipative oscillators and is determined by a rational transfer function with fixed poles and optimized zeros. The filter design and optimization algorithm is based on a reservoir computing approach. The predictive properties of the filter are demonstrated numerically for two chaotic model systems — the finite-dimensional Rössler system and the infinite-dimensional Mackey-Glass system, as well as for the real biological signal of the fingertip photoplethysmogram.     

A novel three-dimensional imaging method by means of coded cameras array recording and computational reconstruction

In this paper, we propose a novel three-dimensional imaging method by which the object is captured by a coded cameras array (CCA) and computationally reconstructed as a series of longitudinal layered surface images of the object. The distribution of cameras in array, named code pattern, is crucial for reconstructed images fidelity when the correlation decoding is used. We use DIRECT global optimization algorithm to design the code patterns that possess proper imaging property. We have conducted primary experiments to verify and test the performance of the proposed method with a simple discontinuous object and a small-scale CCA including nine cameras. After certain procedures such as capturing, photograph integrating, computational reconstructing and filtering, etc., we obtain reconstructed longitudinal layered surface images of the object with higher signal-to-noise ratio. The results of experiments show that the proposed method is feasible. It is a promising method to be used in fields such as remote sensing, machine vision, etc.     

Design of URAs by DIRECT global optimization algorithm

Coded aperture imaging (CAI) has evolved as a standard technique for imaging high-energy photon sources and has found numerous applications. Coded aperture arrays (CAAs) are the most important devices in the applications of CAI. In recent years, many approaches were presented to design optimum or near-optimum CAAs. Uniformly redundant arrays (URAs) are the most successful CAAs for their cyclic autocorrelation consisting of a sequence of delta functions on a flat sidelobe, which can easily be subtracted when the object has been reconstructed. Unfortunately, the existing methods can only be used to design URAs with limited number of array sizes and fixed autocorrelative sidelobe-to-peak ratio. In this paper, we presented a method to design more flexible URAs by means of a global optimization algorithm named DIRECT. By our approaches, we obtain various types of URAs including the filled URAs which can be constructed by existing methods and the sparse URAs which have never been constructed and mentioned by existing papers as far as we know.     

Designing Superresolution Optical Pupil Filter with Constrained Global Optimization algorithm

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自适应滤波器在机载武器测试系统中的应用

针对飞机机载武器设备特点和测试维修要求,在分析了自适应滤波器的结构、最优评估等特性基础上,根据现场可编程门阵列(FPGA)的设计过程,构建了基于最小均方误差(LMS)算法的横向自适应滤波器.仿真结果和使用表明:设计实现的自适应滤波器,在FPGA中开辟512 kB的随机存储器(RAM)存储空间,能够实现权值系数向量的自动调节,且适应信号变化的特性,滤波后的信号测试误差不大于5%,且LMS算法在0.1 ms内可收敛到最优,满足数据处理的实时性和机载武器系统测试的要求.     

基于保偏光纤取样光栅的宽频带滤波方法

提出一种新型刻录在保偏光纤上的取样布喇格光纤光栅.利用耦合模方程分析了此种光纤光栅的光谱特性,并利用切趾函数对光栅的输出谱进行了优化处理,最终可以实现高品质的宽频带多波长滤波.频带宽度为普通取样布喇格光纤光栅的2倍,经过切趾处理后,此种光纤光栅的边模抑制比也有显著提高.     

托卡马克电源窄带宽近基频间谐波检测方法

为解决托卡马克磁体电源系统中出现的低频谐波检测问题,研究了基于可调参数 Q 的 F42N150 单 频模拟陷波器和椭圆数字带通滤波器的混合检测算法。通过边界优化有效剔除干扰基波及 5 次谐波,实现有效的 频谱分离。利用 MATLAB 优化了为设计过程进行,使用基于 DSP 的数字分析系统进行了试验验证,验证了检测 算法的正确性和有效性。      

鲸群优化的粒子滤波算法研究

针对标准的粒子滤波存在粒子贫化问题,提出了一种鲸群优化的粒子滤波算法。用粒子表征鲸鱼个体, 模拟鲸鱼群体搜寻猎物的过程,引导粒子向高似然区域移动。将粒子滤波中粒子的状态值作为鲸鱼群的个体位置,将粒子的状态估计转化为对鲸鱼群的寻优;通过鲸群的螺旋运动方式优化粒子的重要性采样过程,使粒子分布更加合理,对鲸群算法中的全局最优值引入最优邻域随机扰动策略,并在鲸鱼位置更新过程中加入自适应权重因子;选用一种典型的单静态非增长模型进行仿真测试。测试结果表明:提出的方法与传统的粒子滤波以及引力场优化的粒子滤波相比,在保证相同粒子数的前提下,算法的均方误差分别降低了28%和9%,证明了鲸群优化的粒子滤波算法具有更高的估计精度,并且在粒子数较少的情况下,可实现更准确的状态估计。     

用于三维傅氏轮廓术的一种自适应基频带通滤波器

介绍了傅氏轮廓术的基本原理,通过仿真与调相频谱分析,提出了一种新的自适应基频带通滤波器算法。利用此算法设计出了基频带通滤波器并用于傅氏轮廓术的位相提取。结果表明,相对于非自适应性的滤波器,使用本文设计的滤波器其三维面型测量精度可以提高5％,并且具有稳定的重复测量精度,在不受主观因素的影响下实现了实时三维面形重建。以螺纹钢面型为例进行了位相提取实验,实验中计算了面型测量精度,并与理论仿真精度进行比对与分析,得出的实验结果与理论仿真结果相一致,验证了该算法的有效性。     

高双折射Sagnac环透射特性的理论与实验研究

 采用传输矩阵分析法、数值模拟和实验研究相结合的方法研究了由光耦合器（OC）、偏振控制器（PC）和保偏光纤（PMF）组成的高双折射Sagnac干涉环的透射特性。理论分析了PMF特性和PC状态对输出特性的影响,并通过数值模拟得到了PMF长度、双折射率（Δn）和PC状态不同时所对应的透射光谱。最后通过实验验证得出了波长间隔只由PMF的长度和双折射率Δn决定,透射率大小只由PC状态决定,而透射谱的峰值位置由PMF和PC状态共同决定的规律。实验结果与理论分析结果非常一致,对Sagnac环透射规律的研究对这种可调谐滤波器在多波长光纤激光器中的应用具有一定的参考价值。     

Two-dimensional poroelastic acoustical foam shape design for absorption coefficient maximization by topology optimization method

Optimal shape design of a two-dimensional poroelastic acoustical foam is formulated as a topology optimization problem. For a poroelastic acoustical system consisting of an air region and a poroelastic foam region, two different physical regions are continuously changed in an iterative design process. To automatically account for the moving interfaces between two regions, we propose a new unified model to analyze the whole poroelastic acoustical foam system with one set of governing equations; Biot's equations are modified with a material property interpolation from a topology optimization method. With the unified analysis model, we carry out two-dimensional optimal shape design of a poroelastic acoustical foam by a gradient-based topology optimization setting. The specific objective is the maximization of the absorption coefficient in low and middle ranges of frequencies with different amounts of a poroelastic material. The performances of the obtained shapes are compared with those of well-known wedge shapes, and the improvement of absorption is physically interpreted.