全向攻击比例导引律的优化及其攻击特性研究

本文通过全向攻击引导律优化、攻击区研究以及脱靶量分析,提出一种为确定空空导弹的全向攻击导引律的研究方法。利用该方法可以获得导引品质优良而又易于实现的导引规律。它既能满足全面攻击要求,又有一定大小的攻击区、不大的脱靶量以及良好的弹道特性和适当放宽的初始射击精度要求。另外,本文还对攻击区“黑洞”进行了初步探讨。     

基于参数化模型和遗传算法的复合材料加筋壁板结构选型优化研究

针对复合材料加筋壁板的结构优化选型问题,采用辅助层压板和添加极小弹性模量材料的复合材料加筋壁板有限元建模方法,应用PATRAN/NASTRAN的参数化建模功能和遗传算法相结合的复合材料加筋壁板的优化方法,对5种复合材料结构形式进行了从2000N/mm到6000N/mm压缩载荷下的结构优化分析。结果表明,当载荷小于4500N/mm时,最有效的加筋壁板结构型式为J型;当压缩载荷大于4500N/mm时,最有效的加筋壁板结构型式为I型。     

拓扑优化方法在航空用钣金零件设计中的应用

为了满足航空产品高载重量及低耗油率的要求,采用拓扑优化技术对航空用钣金零件进行结构优化,实现了钣金零件强度高和重量轻的指标.案例分析表明,在航空用钣金零件初始设计阶段引入拓扑优化方法,会比设计过程中单纯使用结构尺寸优化和形状优化获得更大的经济效益.     

多状态空间信息网络拓扑生成优化算法

依据空间信息网络（SIN）高动态性的特点，并考虑卫星工作的多状态特性，兼顾星间通信时延和拓扑抗毁性的要求，研究了多状态下空间信息网络拓扑生成及动态优化的问题。根据卫星星座的周期性，建立了一种卫星网络的拓扑周期表。综合卫星的可视性和连接度等约束条件，以网络平均和最大时延作为通信性能的优化目标，建立拓扑的多目标优化模型。提出一种改进的多目标模拟退火（IMOSA）算法，求解全局时延最优的卫星拓扑，并在考虑多状态情况下对链路进行优化，以满足网络高动态性。最后基于具有66颗低轨（LEO）的铱星星座进行仿真，研究表明：针对多状态条件下的铱星星座，该算法最大化减小了通信时延，得到抗毁性良好的拓扑结构，通信性能较之原有静态拓扑明显得到改善。     

Influence of TiB2 particles on machinability and machining parameter optimization of TiB2/Al MMCs

In situ formed TiB₂ particle reinforced aluminum matrix composites (TiB₂/Al MMCs) have some extraordinary properties which make them be a promising material for high performance aero-engine blade. Due to the influence of TiB₂ particles, the machinability is still a problem which restricts the application of TiB₂/Al MMCs. In order to meet the industrial requirements, the influence of TiB₂ particles on the machinability of TiB₂/Al MMCs was investigated experimentally. Moreover, the optimal machining conditions for this kind of MMCs were investigated in this study. The major conclusions are: (1) the machining force of TiB₂/Al MMCs is bigger than that of non-reinforced alloy and mainly controlled by feed rate; (2) the residual stress of TiB₂/Al MMCs is compressive while that of non-reinforced alloy is nearly neutral; (3) the surface roughness of TiB₂/Al MMCs is smaller than that of non-reinforced alloy under the same cutting speed, but reverse result was observed when the feed rate increased; (4) a multi-objective optimization model for surface roughness and material removal rate (MRR) was established, and a set of optimal parameter combinations of the machining was obtained. The results show a great difference from SiC particle reinforced MMCs and provide a useful guide for a better control of machining process of this material.     

小型无人机气动参数辨识的新型HGAPSO算法

针对小型无人机(UAVs)研制中操稳特性和飞行控制律设计评估对气动参数辨识的需求,提出了一种混合遗传粒子群优化算法(HGAPSO)。该算法以粒子群优化算法(PSO)为主体,在粒子优化路径中,引入遗传算法(GA)的交叉变异操作,增强粒子群跳出局部最优的能力;同时采用Kent映射改进粒子种群的初始化,使初始种群在可行解空间内分布更加均匀,增强全局优化能力。基于仿真结果,依据辨识准度及辨识成功率,对比了HGAPSO、常规PSO和GA优化算法气动参数辨识的结果,然后用蒙特卡洛仿真测试随机观测噪声的影响,结果表明该算法兼备PSO算法高的搜索效率和GA算法的全局优化能力,对随机观测噪声不敏感。最后,通过设计小型UAV试飞示例进行综合应用评价,结果表明:HGAPSO算法基于真实试飞数据进行气动参数辨识取得了满意结果,具有良好的实用性。     

基于自适应径向基网络的舰船RCS统计特征识别方法

文章采用舰船RCS频域起伏序列的均值、标准差为识别特征向量,利用提出的基于样本密度的自适应径向基网络,进行舰船分类识别研究。自适应径向基网络采用改进的自适应PSO方法估计样本密度最优邻域半径,实现径向基网络中心的自适应选择。改进的自适应PSO方法采用能反映样本聚类特点的BWP指标为适应度评价函数,采用快慢结合的高斯自适应惯性权重调节策略,提高了最优样本密度邻域半径的搜索速度和精度。实验结果表明,自适应径向基网络能自适应获得径向基网络最优识别率对应的RBF中心及其位置分布,减少了对建模人员经验的依赖,提高了反舰导弹对舰船类型的识别分类能力。     

An equilibrium multi-objective optimum design for non-circular clearance hole of disk with discrete variables

An Equilibrium Multi-objective Optimization Model(EMOM) with self-regulated weighting factors has been proposed for the optimum design of non-circular clearance hole on the front flange of turbine disk. In the ‘‘equilibrium design", both the stress decrease around the hole and the least hole's profile variation are considered, which balances two ambivalent design goals. Specific discrete variables are applied to realize the standardization design in the optimization process, in which a Surrogate Genetic Coding Algorithm(SGCA) is introduced, and a special check module is used to get rid of repeated fitness evaluation of the samples. The method offers an equilibrium design for the non-circular clearance hole of the turbine disk with great accuracy and efficiency.     

Multi-level virtual prototyping of electromechanical actuation system for more electric aircraft

Electromechanical actuators (EMAs) are becoming increasingly attractive in the field of more electric aircraft because of their outstanding benefits, which include reduced fuel burn and maintenance cost, enhanced system flexibility, and improved management of fault detection and isolation. However, electromechanical actuation raises specific issues when being used for safety-critical aerospace applications like flight controls: huge reflected inertia to load, jamming-type failure, and increase of backlash with service due to wear and local dissipation of heat losses for thermal balance. This study proposes an incremental approach for virtual prototyping of EMAs. It is driven by a model-based system engineering process in order to enable simulation-aided design. Best practices supported by Bond graph formalism are suggested to develop a model’s structure efficiently and to make the model ready for use (or extension) by addressing the above mentioned issues. Physical effects are progressively introduced, and the realism of lumped-parameter models is increased step-by-step. In particular, multi-level component models are architected to ensure continuity between engineering activities. The models are implemented in the AMESim simulation environment, and simulation responses are given to illustrate how they can be used for preliminary sizing, control design, thermal balance verification, and faults to failure analysis. The proposed best practices intend to provide engineers with fast, reusable, and efficient means to assess performance virtually and enhance maturity, performance, and robustness.     

一种卫星信道的反馈优化接入机制

提高卫星信道资源利用率，探索高效可行的端站接入机制是卫星通信发展亟待解决的问题之一。当前卫星通信DVB-RCS标准基于带宽预先规划的接入机制与端站随遇接入的需求矛盾凸显，因此提出一套信道反馈优化接入机制，综合考虑各端站数据业务需求，在不改变原有协议信令特征的基础上，探索性地引入谦虚度激励方法，创造性地构造动态协商反馈模型并加以求解，达到提高端站接入数量、满足随遇接入需求、提升信道利用效率、最大化整体带宽通信业务效益的目的。通过试验验证，带宽分配反馈优化机制比传统模式提高近1倍接入率，最大端站数接入时算法耗时约只有0.67s，可为卫星信道使用提供技术参考。