微机在发展光学计测中的作用

通过列举材料，阐述了微型电子计算机的特点与功能，微机在光学计测中的作用，展望了微机在未来光学计测中的应用前景。     

飞机左右带外挂对称结构振型局部化研究

本文研究了带外挂飞机失调对称结构的振局产化现象，推出了单边联接刚度失调时的振型局部化判据，算例的结果证实了判据的正确性和可用性。此判据可供飞机结构设计选取结构参数时参考之用。     

无人机飞行控制系统先进设计技术评述

首先简要回顾了无人机飞行控制系统经典设计方法,然后着重论述了目前国外在无人机飞行控制系统设计领域的最新研究成果,包括动态逆技术、BACKSTEPPING自适应技术及综合制导与控制技术。     

Adaptive variable structure tracking control for constrained robots

The problem of controller design for constrained robots with the consideration of computational efficiency is addressed. An efficient adaptive variable structure control algorithm based on a reduced dynamics formulation, is presented for trajectory tracking of an end-effector on a constrained surface with specified constraint forces. It is shown that the objective can be achieved without exact knowledge of robot dynamics and on-line calculation of nonlinear dynamic functions. The control algorithm is constructed with at most three control parameters to be adjusted adaptively, and that number is determined independently of the number of degrees of freedom of the robotic manipulators. A numerical example is presented to illustrate the developed method     

一种定量建立主题数据库的算法

本文利用企业模型中的企业活动与实体之间的关系给出了实体组之间的相关系数定义，在此基础上，给出了实体组的分组算法，从而应可以根据主要数据库分划标准把实体划分成实体大组，形成主题数据库。     

一种求解核函数方程的新方法—辅助核法

本文提出了求解核函数方程的辅助核法。此法克服了偶极子栅格法对网格分布的限制,具有更大的适用范围。数值计算表明,此法对求解绕翼型的跨声速激波流动是很有利的。     

飞机带外挂对称结构振型局部化的参数影响

本文在文〔１〕研究的基础上，详细分析了飞机左右对称子结构间的耦合度以及外挂联接刚度失调量的大小等因素对振型局部化程度的影响。通过具体的数据揭示了各参数对局部化程序的影响规律。     

数值求解二维定常跨音速流场多重解现象探讨

本文用时间推进法求解欧拉方程组计算二维平面叶栅绕流问题数值实验是否有多重解现象。计算结果表明,求解欧拉方程组进行流场数值模拟最终收敛与初场无关,不存在解不唯一问题,进而计算初场熵值大小,也发现初场熵值大小不影响终场结果。     

Ground experiments of Chang’e-5 lunar regolith penetrating radar

The Lunar Regolith Penetrating Radar (LRPR) is an Ultra-Wideband (UWB) array-based Ground penetrating radar (GPR) onboard the lander of Chang’e-5 (CE-5) mission. The primary scientific objectives of the LRPR are to probe the thickness and structure of lunar regolith of the landing site, and support the drilling and sampling process. In order to evaluate the performance of the LRPR, a series of ground experiments are performed using the LRPR prototype mounted on a CE-5 lander model. The performance of the LRPR is evaluated by comparing the experimental data with the simulated data. Data processing and imaging method are verified, and the interferences from the lander and other aspects are analyzed. The results of the ground experiments and simulation demonstrate that the LRPR is able to meet the design requirement of 2-m detection depth. They also indicate that the upper and lower interfaces of the stratified structure in the lunar regolith can be well distinguished by the LRPR when the dielectric constant difference is greater than 0.3, and the imaging effect of the location under the dense antennas is better than that of other positions. However, the identification capability of the LRPR to the independent blocky objects is relatively poor mainly due to the clutters caused by the lander, the sparsity of the antenna elements compared to the size of the basalt block, the limited aperture of the antenna array, and the tail of the transmitted waveform.     

Inverse identification of constitutive parameters of Ti2AlNb intermetallic alloys based on cooperative particle swarm optimization

Ti₂AlNb intermetallic alloy is a relatively newly developed high-temperature-resistant structural material, which is expected to replace nickel-based super alloys for thermally and mechanically stressed components in aeronautic and automotive engines due to its excellent mechanical properties and high strength retention at elevated temperature. The aim of this work is to present a fast and reliable methodology of inverse identification of constitutive model parameters directly from cutting experiments. FE-machining simulations implemented with a modified Johnson-Cook (TANH) constitutive model are performed to establish the robust link between observables and constitutive parameters. A series of orthogonal cutting experiments with varied cutting parameters is carried out to allow an exact comparison to the 2D FE-simulations. A cooperative particle swarm optimization algorithm is developed and implemented into the Matlab programs to identify the enormous constitutive parameters. Results show that the simulation observables (i.e., cutting forces, chip morphologies, cutting temperature) implemented with the identified optimal material constants have high consistency with those obtained from experiments, which illustrates that the FE-machining models using the identified parameters obtained from the proposed methodology could be predicted in a close agreement to the experiments. Considering the wide range of the applied unknown parameters number, the proposed inverse methodology of identifying constitutive equations shows excellent prospect, and it can be used for other newly developed metal materials.