基于PCA-MPSO-ELM的空战目标威胁评估

目标威胁评估是空战对抗过程中的关键环节。由于影响空战目标威胁评估的因素复杂多样，且指标之间存在相关性，导致传统的评估算法无法得到准确客观的评估结果。由此，提出了一种基于主成分分析法和改进粒子群算法优化的极限学习机（PCA-MPSO-ELM）的目标威胁评估算法。首先，综合分析了影响目标威胁程度的指标，利用主成分分析法对原始评估指标进行线性变化处理得到综合变量，消除了评估指标之间的相关性，实现了对评估数据的降维；在此基础上，构建ELM神经网络并利用改进的粒子群算法优化极限学习机的输入权值和阈值，提高了目标威胁评估模型的精度。最后，在空战训练测量仪中选取空战对抗数据，利用威胁指数法构造了目标威胁评估样本数据，通过仿真实验分析了PCA-MPSO-ELM算法的精度和实时性，结果表明所提算法可以快速准确地进行空战目标威胁评估。     

低速风洞进气道试验柱形分布式引射器优化设计

为适应低速风洞发动机进气道试验的大流量模拟的迫切需要，介绍了适用于4 m量级低速风洞的柱形分布式引射器的设计方案。通过ANSYS-CFX软件采用有限体积法对引射器内流场进行了数值模拟,重点优化了引射器的引射面积比、离散的喷嘴分布方式和喷嘴出口设计点总压、马赫数等参数。综合考虑引射器在风洞中的使用条件限制和吸入流量技术指标要求,完成了引射器设计。优化后的引射器方案解决了小体积、大吸入流量需求之间的矛盾。在FL-14风洞的验证试验表明,优化后引射器的最大吸入流量达到9.07 kg/s,满足4 m量级低速风洞进气道试验大流量模拟需求。     

空间碎片绳网捕获拖曳恒张力控制

针对空间绳网系统捕获空间碎片后,在轨道转移过程中的精确控制问题,提出一种使用常值拉力将空间碎片拖曳至坟墓轨道的方法。首先,采用牛顿欧拉法建立绳系组合体动力学模型;其次,通过李雅普诺夫方法证明仅使用恒张力即可实现拖曳过程的稳定控制;再次,提出采用常值拉力切换控制律抑制空间碎片的姿态章动,采用基于相平面控制原理的控制律抑制绳系组合体面内面外摆动,规避在轨道转移过程中系绳松弛造成缠绕、系绳张力过大造成断裂或两星接近发生碰撞等风险。最后,通过拖曳离轨全过程仿真分析,校验了所提出控制方法的有效性。     

低重环境下旋转轴对称贮箱内液体晃动研究

针对低重环境下旋转轴对称贮箱自由晃动和受侧向、纵向激励时的箱内液体晃动,用变分原理推导了基于低重环境下静液面形状的液体晃动的积分形式的动力学控制方程,由拉普拉斯方程得到用高斯超几何级数解析表达的速度势和波高,进而得到液体晃动的模态运动方程。分析了球形贮箱和Cassini贮箱内液体自由晃动基频,贮箱受侧向激励时液体晃动波高振幅、晃动对贮箱产生的晃动力和力矩、晃动的等效力学模型,以及贮箱受纵向激励时的晃动波高振幅、可能出现的参激共振问题。     

运动目标的全极化一维成像方法研究

提出了一种新的运动目标全极化一维成像方法,该方法利用解线性调频处理的小场景回波成像特性,使用小于发射脉冲宽度的时间延迟来实现不同极化通道之间的隔离,既能克服瞬时极化测量体制受发射波形特性限制的缺点,又能抑制传统分时极化测量体制长时间间隔导致的目标极化特性去相关效应.建立了运动目标的回波模型,分析了各相位因子的性质,针对不同的相位因子特性提出了相应的补偿方法:首先利用目标互易性原理对不同极化通道之间的相位差进行补偿,然后根据最小熵值准则实现对时延一次项和高次项精确补偿.仿真结果表明本文方法的有效性.     

光学太阳反射镜抗静电薄膜的设计原则

对氧化铟锡（ITO）薄膜在光学太阳反射镜（OSR）抗静电放电设计中的应用进行了研究，采用Drude理论分析了ITO薄膜的表面方阻等对OSR的太阳光谱吸收比的影响，测试了光学太阳反射镜充电电位，讨论了薄膜接地状况对OSR表面充放电性能的影响，结果表明，ITO薄膜应用于OSR表面防静电放电时，需合理设计表面方阻和接地方式。     

Optimization Design System for Composite Structures Based on Grid Technology

To solve the topology optimization of complicated multi-objective continuous/discrete design variables in aircmit structure design, a Parallel Pareto Genetic Algorithm （PPGA） is presented based on grid platform in this paper. In the algorithm, the commercial finite element analysis （FEA） software is integrated as the calculating tool for analyzing the objective functions and the filter of Pareto solution set based on weight information is introduced to deal with the relationships among all objectives. Grid technology is utilized in PPGA to realize the distributed computations and the user interface is developed to realize the job submission and job management locally/remotely. Taking the aero-elastic tailoring of a composite wing for optimization as an example, a set of Pareto solutions are obtained for the decision-maker. The numerical results show that the aileron reversal problem can be solved by adding the limited skin weight in this system. The algorithm can be used to solve complicated topology optimization for composite structures in engineering and the computation efficiency can be improved greatly by using the grid platform that aggregates numerous idle resources.     

Research on the Algorithm of Avionic Device Fault Diagnosis Based on Fuzzy Expert System

Based on the fuzzy expert system fault diagnosis theory, the knowledge base architecture and inference engine algorithm are put forward for avionic device fault diagnosis. The knowledge base is constructed by fault query network, of which the basic element is the test-diagnosis fault unit. Every underlying fault cause’s membership degree is calculated using fuzzy product inference algorithm, and the fault answer best selection algorithm is developed, to which the deep knowledge is applied. Using some examples, the proposed algorithm is analyzed for its capability of synthesis diagnosis and its improvement compared to greater membership degree first principle.     

Thermal Stresses and Cracks During the Growth of Large-sized Sapphire with SAPMAC Method

本文利用有限元法对冷心放肩微量提拉法(SAPMAC)生长大尺寸蓝宝石单晶过程中的热应力进行了模拟计算,应用临界缺陷理论解释了裂纹的萌生与扩展机理。研究表明,晶体内的热应力主要与晶体生长速率,环境温度和结晶取向有关;较大热应力多出现在结晶界面,放肩、收尾以及直径急剧变化等位置;最大热应力总是出现在籽晶与新生晶体的界面附近。裂纹将在临界缺陷位置产生,并在应力作用下沿a或m面扩展。计算结果与实验结果基本吻合,通过晶体生长系统和生长工艺的改进,对晶体的开裂问题得到了有效的抑制。     

发动机零部件稳态应力计算的状态函数法

An opti mization process is used to redesign blades of a high-pressure compressor.An artificial neural network (ANN) method is coupled to Navier-Stokes solvers and is applied to three different redesigns.A newrotor blade of a transonic compressor is designed by modifying thick, stacking line andinlet angle using a 3Dapproach, with a significant efficiencyi mprovement at the design point.The off-design behavior of this new compressor is also checked afterwards, which shows that the whole performance of the inlet stage is improved over a wide range of mass flow.The losses are reduced, proving the good performance of the opti mum.The whole results indicate that the opti mization method can find i mproved design and can be integrated in a design procedure.