自由变形技术在RAE2822翼型优化设计中的应用

采用自由变形技术实现对RAE2822跨声速翼型表面的参数化,采用试验设计方法对设计参数进行计算流体力学数值模拟样本训练,最后采用Kriging代理模型和MIGA、NLPQL优化算法进行优化分析,将得到的优化变量进一步进行计算流体力学分析获得最后的优化结果。计算结果显示,自由变形参数化方法简单易行,可实现直接对网格的变形;优化的结果相比于原始翼型,升阻比增加了57. 2%,从而证明了本文方法的可行性和有效性。     

基于杂草算法的超磁致伸缩作动器耦合模型识别

考虑磁滞损耗、动态应力等因素的超磁致伸缩作动器磁滞模型可有效揭示电-磁-机-热多场耦合效应,但准确识别其非线性模型往往存在较大困难。智能杂草算法具有激烈的竞争机制和较强的搜索能力,可用于解决作动器多目标物理参数辨识问题。传统算法的种子数量以线性方式产生且分布方差与适应度缺乏联系,极大地影响了算法收敛速度和模型识别精度。为此,提出一种非线性繁殖和分布的混合改进杂草算法,并将其应用于超磁致伸缩作动器模型识别。实验表明:改进算法具有较强的噪声抑制能力,能精确辨识含有噪声扰动的作动器磁滞非线性模型物理参数;模型预测值和实验数据误差较小,所识别参数可使磁滞非线性模型较为全面地描述作动器多场耦合机理和动态特性。     

J2摄动下卫星编队重构的多脉冲轨迹优化

针对考虑J_2摄动的椭圆参考轨道的编队重构问题,以消耗燃料最少为目标函数,基于高斯变分方程研究编队重构的多脉冲轨迹优化方法。推导考虑J_2摄动和轨道面内外耦合的轨道要素偏差线性动力学方程,采用遗传算法和序列二次规划结合的混合算法对总的速度增量进行优化。数值仿真表明该混合算法有效,可以高效地得到可行解。由于考虑了J_2摄动和椭圆参考轨道,该算法对航天任务中的轨迹优化具有一定的参考意义。     

动态服务质量的多信道媒体接入控制传输机制

针对航空自组网在高负载下的服务质量及时延问题,提出一种动态服务质量的多信道媒体接入控制传输机制。以多信道检测统计为平台,结合优先级机制,通过在高负载网络中适当遏制低优先级业务,并且进行网络流量优化,保证高优先级业务的低时延发送;同时利用流量预测模型估计网络流量,通过粒子群优化算法进行优化,寻找合适的优先级门限值,确保高优先级业务接入率。通过计算机仿真可知,所设计的动态服务质量的多信道媒体接入控制传输机制,可在大负载网络中动态控制信道的接入,保持良好的网络吞吐量,其高优先级业务接入率达到99%以上,能有效解决航空数据链网络高业务量导致的服务质量及时延问题。     

基于遗传算法的船体主甲板外展程度寻优

阐述了利用遗传算法思想解决某些具有特殊甲板尺度要求的船舶甲板主尺度(长度、宽度)与船体设计水线长、宽比值的优化设计问题.在舯横剖面和中纵剖面上分别定义甲板宽度与设计水线宽之比α、甲板长度与设计水线长之比β,以该问题最为突出的大型舰船为例,建立最小偏差数学模型,对α、β优化确定问题进行计算,根据约束条件及优化对象的相对权重编制Matlab程序进行寻优,最终获得了最优化的甲板外展程度.整个过程采用二进制编码以增大搜索随机性,通过设定父辈交叉及基因突变概率,防止搜索过程出现局部最优.     

基于Holtrop公式与遗传算法的船型参数优化

针对方尾水面舰船,采用Holtrop阻力计算公式,以总阻力为目标函数,据遗传算法,对主要的船型参数进行了优化计算,进而得出了在一系列速度下主要船型参数的最优解及相应的由Holtrop公式计算得到的总阻力,并绘制了在各最优解下由Holtrop公式计算的总阻力随速度的变化曲线,结合Holtrop公式相应图谱对所得优化计算结果进行了分析.结果表明,该方法对于水面舰船的主尺度比等船型参数优选具有较强的实用性.     

高超声速滑翔式飞行器再入轨迹多目标多约束优化

轨迹优化是高超声速滑翔式飞行器关键技术之一.为避免间接法求解轨迹优化问题时对初值敏感以及伪谱法求解轨迹优化问题中难以处理航路点和禁飞区等问题,提出采用基于Akima插值多项式的直接法求解高超声速滑翔式飞行器再入轨迹优化问题.以驻点热流密度最小和到达目标点时间最小为优化目标,考虑了终端约束、航路点约束、禁飞区约束、动压约束、过载约束等约束条件.仿真结果表明:采用的插值方法可以减少插值过程中的控制变量越界问题;得到的Pareto前沿具有良好的分布性,在初步设计时能够给设计者较大的选择余地;和文献中的单目标优化结果相比,本文所采用的算法也具有较好的寻优能力.     

An eikonal equation based path planning method using polygon decomposition and curve evolution

Path planning is a key technique of autonomous navigation for robots, and the velocity field is an important part. Constructing velocity field in a complex workspace is still challenging. In this paper, an inner normal guided segmentation algorithm in a complex polygon is proposed to decompose the complex workspace in this paper. The artificial potential field model based on probability theory is then used to calculate the potential field of the decomposed workspace, and the velocity field is obtained by utilizing the potential field of this workspace. Path optimization is implemented by curve evolution, during which the internal force generated in the smoothing process of the initial path by a mean filter and the external force is obtained from the gradient of the workspace potential field. The parameter selection principle is deduced by analyzing the influence of several parameters on the path length and smoothness. Simulation results show that the designed polygon decomposition algorithm can effectively segment complex workspace and that the path optimization algorithm can shorten and smoothen paths.     

Optimal source placement for point coverage in active multistatic sonar networks

The allocation of underwater sensors for tracking, localization, and surveillance purposes is a fundamental problem in anti-submarine warfare. Inexpensive passive receivers have been heavily utilized in recent years; however, modern submarines are increasingly quiet and difficult to detect with receivers alone. Recently, the idea of deploying noncollocated sources and receivers has emerged as a promising alternative to purely passive sensor fields and to traditional sonar fields composed of collocated sources and receivers. Such a multistatic sonar network carries a number of advantages, but it also brings increased system complexity resulting from its unusual coverage patterns. In this work, we study the problem of optimally positioning active multistatic sonar sources for a point coverage application where all receivers and points of interest are fixed and stationary. Using a definite range sensor model, we formulate exact methods and approximation algorithms for this problem and compare these algorithms via computational experiments. We also examine the performance of these algorithms on a discrete approximation of a continuous area coverage problem and find that they offer a significant improvement over two types of random sensor deployment.     

基于混沌量子粒子群的舰炮身管多目标优化研究

舰炮的炮口扰动是影响舰炮射击精度的重要因素。为了减少舰炮的炮口扰动,优化身管结构,建立了柔性身管的有限元模型并将该模型的模态计算结果与模态试验测试值进行对比,证明建立的柔性身管有限元模型是有效的。提出了混沌量子粒子群算法与动力学联合优化的方法,进行身管和炮口的多目标优化,优化结果表明：优化后的炮口中心的线速度、角速度和角位移与优化前相比显著减小,身管质量有所降低,结构更加合理,该优化方法有效可行,为下一步全炮总体优化设计提供了一定的借鉴。