非线性参数识别的相关积分方法及其应用

使用相关积分方法解决单自由度非线性系统的参数识别问题。利用相关积分方法的滤波特性可以有效地抑制测量信号中的噪声影响，提高参数估计的精度。同时可以分别建立非线性阻尼和刚度参数的线性识别方程．实现两类参数的分离识别，有利于弱非性项的参数估计。将这一方法用于贮箱内液体晃动等效力学模型参数的试验确定问题，解决了由于采用防晃装置而产生的非线性晃动阻尼的参数识别问题。     

铝锂合金热处理及其组织性能

本文研究国产８０９０铝锂合金热处理工艺及其组织性能。研究表明：８０９０铝锂合金在５７２±３℃固溶加热、保温３０￣６０分钟,水冷,自然时效时间长达３５天以上,机械性能差;在１９０℃,１９小时人工时效,机械性能σｂ＝５１６￣５７６ＭＮｍ＾－２,δ＝６．２￣６．３％,金相组织均匀。适当延长固溶处理加热保温时间,对铝锂合金强度有益。用扫描电镜对固溶短时保温水冷的人工时效与自然时效Ａｌ－Ｌｉ合金试样进行了继     

语音模式中基于启发式搜取的快速匹配算法

语音模式匹配是语音识别技术的关键步骤之一。本文介绍了如何运用SA算法实现语音模式的快速匹配的思想。SA算法与传统的动态时间弯变(DTW)算法相比较具有计算量大大减少而系统识别率几乎不降的特点。     

Automatic differentiation based discrete adjoint method for aerodynamic design optimization on unstructured meshes

A systematic methodology for formulating, implementing, solving and verifying discrete adjoint of the compressible Reynolds-averaged Navier-Stokes (RANS) equations for aerodynamic design optimization on unstructured meshes is proposed. First, a general adjoint formulation is con-structed for the entire optimization problem, including parameterization, mesh deformation, flow solution and computation of the objective function, which is followed by detailed formulations of matrix-vector products arising in the adjoint model. According to this formulation, procedural components of implementing the required matrix-vector products are generated by means of auto-matic differentiation (AD) in a structured and modular manner. Furthermore, a duality-preserving iterative algorithm is employed to solve flow adjoint equations arising in the adjoint model, ensur-ing identical convergence rates for the tangent and the adjoint models. A three-step strategy is adopted to verify the adjoint computation. The proposed method has several remarkable features:the use of AD techniques avoids tedious and error-prone manual derivation and programming;duality is strictly preserved so that consistent and highly accurate discrete sensitivities can be obtained; and comparable efficiency to hand-coded implementation can be achieved. Upon the cur-rent discrete adjoint method, a gradient-based optimization framework has been developed and applied to a drag reduction problem.     

关于纤维增强复合材料力学性能可设计性的分析

纤维增强复合材料是一种多相结构材料,主要由增强纤维和树脂基体材料组成。其性能可设计性是指可按照设计要求进行选择不同的增强材料和树脂基体材料以及它们的含量和各种铺层形式,可组成具有不同性能的各种复合材料。这给复合材料可设计性提供更大的自由度。该文结合工程应用需要,主要对其力学性能可设计性进行了分析研究。     

卫星设计过程信息分析的方法研究

在综合分析现有卫星设计信息分析技术的基础上,将总体数据规划的思想引入卫星设计过程的信息分析,提出了一种利用信息工程论下的总体数据规划和并行工程下的设计结构矩阵相结合的技术进行卫星设计信息分析的新方法。深入讨论了从任务分析着手构建数据模型的思想,研究了设计结构矩阵的分解和撕裂算法,并以卫星总体设计方案阶段为例,具体说明在这种方法指导下,如何实现卫星设计的信息分析。     

航天器多学科设计优化技术综述

强调了应用多学科设计优化(MDO)技术进行航天器设计的必要性,分析了航天器MDO设计的内容,通过对各大宇航公司MDO应用的分析,论述了航天器MDO设计现状;在分析MDO框架的功能后,对几种流行的框架作了介绍;最后探讨了航天器MDO应用技术的发展方向。     

Pro／E二次开发技术在卫星结构设计中的应用

为解决卫星协同设计过程中总体、结构信息同步滞后问题,基于Pro／E软件进行二次开发,实现对总体与结构接口文件的自动解析;利用解析出来的接口数据,在模型上进行表阵列的自动创建,使总体设计模型的变更能够在结构设计模型中及时得到反映,从而实现“总体一结构”设计结果的快速同步。文章中开发的软件工具,在多颗卫星的研制过程中得到了应用。     

An attempt to study long-term variation of sporadic E layers using neural networks

Strong positive correlation between sporadic E layers and the solar activity and the long-term declining trend of Es were found in this paper. Then the feed-forward back propagation neural networks (NNs) were used to simulate the long-term variation of Es at four stations and predict foEs yearly average values. The inputs used for NNs are the yearly mean values of foEs in the daytime of the past ten years and the yearly averaged data of solar 10.7 cm radio flux (F107) of the present year, and the output is the present yearly mean value of daytime foEs. The outputs of trained NNs have high correlation with the desired values and the foEs yearly mean values predicted by NNs have good agreement with the observed data. The results indicate that NNs can make full use of the observed data to simulate the long variation rule of Es. Also, the results confirm the effect of solar activity on Es.     

Flight Control System of Unmanned Aerial Vehicle

To date unmanned aerial system(UAS)technologies have attracted more and more attention from countries in the world.Unmanned aerial vehicles(UAVs)play an important role in reconnaissance,surveillance,and target tracking within military and civil fields.Here one briefly introduces the development of UAVs,and reviews its various subsystems including autopilot,ground station,mission planning and management subsystem,navigation system and so on.Furthermore,an overview is provided for advanced design methods of UAVs control system,including the linear feedback control,adaptive and nonlinear control,and intelligent control techniques.Finally,the future of UAVs flight control techniques is forecasted.