大尺寸精密测量技术及其应用

大尺寸精密测量技术应用问题是我国当前制造领域研究的热点问题.为了正确、高效应用大尺寸精密测量技术,首先对多种先进数字化测量系统进行分析对比,介绍了测量原理、特点及精度.其次,揭示了大尺寸精密测量与装配过程集成的内涵,以测量模型为核心实现多个环节的数据与过程集成.再次,提出了多数字化测量系统集成与数据融合基本架构,构建大尺寸数字化测量场.然后,给出了测量辅助装配中的核心算法及其与数据、过程间的关系,实现数据在装配过程中的传递.另外,为保证数字化检测技术应用,提出基于模型的检测规划与质量保证的基本架构.最后,研究了面向任务的测量不确定分析方案,总结不确定评估方法.     

基于CAD/CAPP结构的回转体图形显示处理技术研究

为更好地实现工程图形文件的读取与数据共享,促进CAD/CAPP模块工艺信息的表达与集成,现在车削加工自动编程系统中,以车削回转体图形文件为研究对象,主要通过CAD软件系统完成图形输入,并利用VC语言开发应用程序,编程实现文件的数据读取与数据处理,变成CAPP模块需要的基于特征的数据结构,最后结合OpenGL图形处理技术,完成对输入图形的三维绘制以及其他渲染处理,最终实现了CAD/CAPP/CAM的正确集成,为CAD/CAM系统集成提供了新的技术支持.     

整体硬质合金刀具二维码的直接激光标刻与检验

刀具信息条码的标刻和正确识读是刀具信息标识技术中最大的难点.以整体硬质合金刀具为研究对象,以Data Matrix二维码为刀具信息载体,采用直接激光标刻技术,在硬质合金表面进行刀具信息二维码的激光标刻试验.分析了激光标刻参数如功率、速率、频率等对标刻条码质量的影响,建立了面向整体硬质合金刀具的二维码信息直接激光标刻参数选择基准,并据此标刻出了清晰可读的刀具信息二维码.此外,通过条码信息可读性检验试验,分析了标刻条码的可识读程度与条码残缺度、光线、识读距离、识读角度等参数间的关系.结果表明,在条码定位边没有损坏和正常光线条件下识读距离和识读角度对条码可识读程度影响显著.     

基于庞加莱映射的多站数据融合算法

针对目前单目标跟踪数据融合中存在的伪数据问题,研究了基于庞加莱映射的补充条件定位引导算法和多站抗野值数据融合算法,建立了适应实际传感器数量变化的数据融合体系。理论分析和仿真结果均证明,该方法可行有效。     

基于相似变换的涡扇发动机智能动态推力估计方法

智能推力估计面临飞行包线大、工作状态多变带来的数据采集和处理问题,获得的训练数据难以覆盖整个飞行包线的各种过渡工作状态,为此本文提出一种基于相似变换的推力估计数据处理方法。通过机理分析选择推力估计器输入,以相似变换对推力估计的输入和输出数据进行处理,并设计了基于输入延迟的深层动态神经网络来实现动态推力估计。非训练数据区域的动态仿真结果表明,相似变换后,深层动态神经网络的最大推力估计误差降低了62.20%,平均误差降低了43.50%;未进行相似变换时,相比深层静态神经网络,深层动态神经网络的最大推力估计误差降低了43.42%,平均误差降低了2.35%,仿真结果表明了本文所提出的数据处理方法和动态推力估计结构有效性。     

火星无人机实验台发展综述及构想

火星地表崎岖、环境复杂,火星无人机由于其具有高机动性和灵活性,为火星探测提供了一种新的工作模式,是未来深空探测的重要范式。本文对比了火星与地球相关地表环境参数的差异,分析了火星无人机需要克服的困难和主要用途,阐明了火星无人机实验台的重要性;详细介绍了国内外研究机构研发火星无人机实验台的技术特点与功能优劣,总结了实验台需要具备的模拟火星环境和测量相关参数。在此基础上,提出了构建火星无人机实验台设想,给出了总体设计思想和思路,并对火星无人机气动力学实验平台的应用前景进行了展望。     

A step parameters prediction model based on transfer process neural network for exhaust gas temperature estimation after washing aero-engines

The prediction of Exhaust Gas Temperature Margin(EGTM) after washing aeroengines can provide a theoretical basis for airlines not only to evaluate the energy-saving effect and emission reduction, but also to formulate reasonable maintenance plans. However, the EGTM encounters step changes after washing aeroengines, while, in the traditional models, a persistence tendency exists between the prediction results and the previous data, resulting in low accuracy in prediction. In order to solve the pr...     

Non-fragile switched control for morphing aircraft with asynchronous switching

This paper deals with the problem of non-fragile linear parameter-varying (LPV) H∞ control for morphing aircraft with asynchronous switching.The switched LPV model of morphing aircraft is established by Jacobian linearization approach according to the nonlinear model.The data missing is taken into account in the link from sensors to controllers and the link from controllers to actuators,which satisfies Bernoulli distribution.The non-fragile switched LPV controllers are con structed with consideration of the uncertainties of controllers and asynchronous switching phenomenon.The parameter-dependent Lyapunov functional method and mode-dependent average dwell time (MDADT) method are combined to guarantee the stability and prescribed performance of the system.The sufficient conditions on the solvability of the problem are derived in the form of linear matrix inequalities (LMI).In order to achieve higher efficiency of the designing process,an algo rithm is applied to divide the whole set into subsets automatically.Simulation results are provided to verify the effectiveness and superiority of the method in the paper.     

Multi-EAP:Extended EAP for multi-estimate extraction for SMC-PHD filter

The ability to extract state-estimates for each target of a multi-target posterior, referred to as multi-estimate extraction (MEE), is an essential requirement for a multi-target filter, whose key performance assessments are based on accuracy, computational efficiency and reliability. The probability hypothesis density (PHD) filter, implemented by the sequential Monte Carlo approach, affords a computationally efficient solution to general multi-target filtering for a time-varying num-ber of targets, but leaves no clue for optimal MEE. In this paper, new data association techniques are proposed to distinguish real measurements of targets from clutter, as well as to associate par-ticles with measurements. The MEE problem is then formulated as a family of parallel single-estimate extraction problems, facilitating the use of the classic expected a posteriori (EAP) estima-tor, namely the multi-EAP (MEAP) estimator. The resulting MEAP estimator is free of iterative clustering computation, computes quickly and yields accurate and reliable estimates. Typical sim-ulation scenarios are employed to demonstrate the superiority of the MEAP estimator over existing methods in terms of faster processing speed and better estimation accuracy.     

基于中继测量的环月探测器定轨能力分析

嫦娥四号月球探测拟首次实现月球背面的软着陆,测控与数传依赖地月L2平动点的中继卫星,并有望获取四程测量与星间测量数据。对基于中继测量的环月探测器测定轨能力进行了仿真分析,结果表明,中继卫星可较好地实现环月探测器连续跟踪;在定轨能力方面,中继卫星自身轨道精度是制约环月探测器定轨精度的重要因素,当跟踪弧段达到5h以上时,定轨精度趋于稳定,但轨道精度较中继卫星的轨道精度相差1个量级;对于星间链路测量,除中继卫星自身的轨道精度外,星钟的稳定性是制约定轨精度的另一个重要因素,如果辅助以每天1h的地基跟踪亦可实现优于百m的定轨精度。