Lateral Flight Technical Error Estimation Model for Performance Based Navigation

Flight technical error (FTE) combined with navigation system error (NSE) is the main part of total system error (TSE) in performance based navigation (PBN).The implementation of PBN requires pre-flight prediction and en-route short-term dynamical prediction of the TSE.Once the sum of predicted lateral FTE and NSE is greater than the specified PBN value,the PBN cannot operate.Thus,accurate modeling and thorough analysis of lateral FTE are indispensible.Multiple-input multiple-output (MIMO) lateral track control system of a transport aircraft is designed using linear quadratic Gaussian and loop transfer recovery (LQG/LTR) method,and the lateral FTE of a turbulence disturbed approach operation is analyzed.The error estimation mapping function of latera FTE and its bound estimation algorithm are proposed based on singular value theory.According to the forming mechanism of lateral FTE,the algorithm considers environmental turbulence fluctuation disturbance,aircraft dynamics and control system parameters.Real-data-based Monte-Carlo simulation validates the theoretical analysis of FTE.It also shows that FTE is mainly caused by turbulence fluctuation disturbance when automatic flight control system (AFCS) is engaged and would increase with escalating environmental turbulence intensity.     

基于融合诊断的某型飞机故障诊断应用研究

以某新型军用飞机的电传操纵系统为研究对象,分析了案例推理和故障树诊断的方法。在此基础上,提出了将两种方法进行融合的思想,开发了通用化的故障诊断软件,大大提高了故障诊断效率,对第三代飞机的故障诊断提供了一种有效的途径。     

高血压鉴别诊断专家系统HEDDS的不精确推理算法

本文在分析著名的医学专家系统MYCIN不精确推理算法的基础上,提出了一种易于在微型计算机上实现的简便有效的不精确推理算法,并就其一些性质进行了讨论。     

天基激光移除空间碎片仿真平台研究与开发

为了从空间碎片和天基移除系统两方面分析激光驱动碎片变轨过程,优化移除任务规划和策略,基于真实的可观测空间碎片数据,设计并开发了一套天基激光移除空间碎片三维数值仿真平台。首先从总体设计出发,对三维数值仿真平台的需求分析、总体框架、模块功能进行了明确的描述。其次通过对激光驱动空间碎片变轨过程数学模型的分析,确定了各模块的具体实现方法。最后采用C++/Qt开发了三维数值仿真平台,通过仿真验证了设计平台的有效性。该仿真平台可用于不同天基平台和目标碎片的任务规划、碎片分布热点区域和航天器防护区域的方案设计及空间环境治理体系的优化设计。     

智能诊断的定量推理机制和最优推理环境

描述和分析了一种新的基于智能信息处理的故障检诊方法,可以处理复杂动态系统故障检诊面临的复杂故障组合模式和时间特性。从推理机制的量化和推理环境的优选两方面完善了该理论,使其诊断能力、实时性和适用范围都得到提高。推理机制的量化是通过引入概率信息实现的。考虑到诊断过程中可能出现新的故障。又进一步引入了候选项集合扩张机制描述该现象,并提供了相关的概率计算公式。推理机制定量化使得诊断结果可以精确度量,检诊过程也可精确控制。推理环境优选则是通过引入熵信息实现的,由此提高了诊断效率。     

采用等高线地图的CGF地域表示和推理

采用等高线地图作为分布交互仿真环境中计算机生成兵力的地域表示.介绍等高线电子地图下计算机生成兵力系统地域表示和推理的一种方法.通过对地域显示、通视性检测和地形检测等几个基本问题的分析,表明采用该方法是可行的.具有地域表示范围大、地域推理简单明了的特点,并且地域数据真实、修改方便.这种方法比多边形地域表示法更适用于海上和空中大范围训练作战环境的仿真.     

基于表面再现 Marching cubes算法改进与实现

从医学体数据中得到对象的三维可视图像有广泛的应用领域,例如医学诊断、法医学、古人类学等.本文讨论并分析了一种基于表面再现的 Marching cubes算法的优点及存在的不足,给出了算法在时空开销、不确定性等方面的改进和解决方案,改进后的算法在实际系统中取得了良好的效果.     

基于多层分布局域网技术的网络教学平台的探讨

网络教学是信息时代的产物,互联网本身以及各种基于互联网的应用都成了学校教学的内容,这就需要一个平台支持实施这种教学活动．本文结合南昌航空工业学院的多层分布式体系结构的计算机局域网的组建及应用,介绍了网络教学平台的组建。     

Framework and development of data-driven physics based model with application in dimensional accuracy prediction in pocket milling

In the manufacturing of thin wall components for aerospace industry, apart from the side wall contour error, the Remaining Bottom Thickness Error (RBTE) for the thin-wall pocket component (e.g. rocket shell) is of the same importance but overlooked in current research. If the RBTE reduces by 30%, the weight reduction of the entire component will reach up to tens of kilograms while improving the dynamic balance performance of the large component. Current RBTE control requires the off-process measurement of limited discrete points on the component bottom to provide the reference value for compensation. This leads to incompleteness in the remaining bottom thickness control and redundant measurement in manufacturing. In this paper, the framework of data-driven physics based model is proposed and developed for the real-time prediction of critical quality for large components, which enables accurate prediction and compensation of RBTE value for the thin wall components. The physics based model considers the primary root cause, in terms of tool deflection and clamping stiffness induced Axial Material Removal Thickness (AMRT) variation, for the RBTE formation. And to incorporate the dynamic and inherent coupling of the complicated manufacturing system, the multi-feature fusion and machine learning algorithm, i.e. kernel Principal Component Analysis (kPCA) and kernel Support Vector Regression (kSVR), are incorporated with the physics based model. Therefore, the proposed data-driven physics based model combines both process mechanism and the system disturbance to achieve better prediction accuracy. The final verification experiment is implemented to validate the effectiveness of the proposed method for dimensional accuracy prediction in pocket milling, and the prediction accuracy of AMRT achieves 0.014 mm and 0.019 mm for straight and corner milling, respectively.     

基于工业机器人的飞机柔性装配技术

研究了基于工业机器人的飞机柔性装配技术,着重讨论了机器人精度补偿、末端执行器设计、法线检测与找正、系统控制、离线编程等关键技术。通过在小翼部件加工中的应用,达到了孔位精度±0.5mm、法向精度±0.5°等关键技术指标。结果表明,对于特定应用对象采用机器人技术进行飞机部件自动装配为一个理想、低成本的解决方案,随着当今工业机器人性能不断增强,配以末端执行器和相关的补偿系统,在航空工业作为装配平台是可行的。