基于BP神经网络的飞机完好率建模研究

飞机完好率是检验航空兵部队装备作战能力的重要参数.首先研究了飞机完好率的定义及其计算公式,然后建立了飞机完好率的BP神经网络预测模型,仿真结果验证了该模型的精确性和有效性.     

农林飞机结构抗坠毁设计技术

农林飞机通常在3-5m的超低空进行作业飞行,在离地面3m以上的空中往往会有树木、电线杆、电线、堤坝、土堆、山丘、建筑物等障碍物,稍有不慎,就有与之撞击的可能。这样的工作条件除要求飞机具有良好的超低空飞行性能以外,还要求飞机具有一定的耐坠撞能力。本文针对农林飞机执行任务过程中可能发生的碰撞、坠毁等特点,研究了农林飞机抗坠毁设计技术、计算分析仿真技术。     

数字化机载环控地面检测系统的研究

通过采用两片PIC18F448及其外围器件实现了机载环控地面检测系统的数字化设计。通过I^2C总线实现两片单片机之间的数据传输与协调，并利用其CAN接口模块实现多套检测系统的网络化和远程控制操作。     

基于遗传算法的飞机维修拆卸/装配序列规划研究

飞机维修拆卸/装配序列规划是整个飞机产品维修作业的重要组成部分,同时也是飞机远程诊断与远程维修的重要研究内容。针对飞机维修过程中拆卸/装配序列规划问题的特点和要求,本文从维修产品的拆卸/装配过程稳定性、拆卸/装配方向和拆卸/装配工具的改变次数三个方面来设置目标函数,解决了零件数量大的产品规划计算效率不高且没有考虑产品的维修过程稳定性问题。本文开发出了基于遗传算法的飞机维修拆卸/装配序列规划系统,并结合具体产品进行了验证。     

舰载飞机弹射滑跑起飞特性计算

给出舰载飞机从航空母舰上弹射滑跑起飞的动力学模型，基本解算方法和示例计算结果。考虑了起落架油液减震装置的柔性对起飞滑跑特性的影响，列出了起落架受力的数学模型和飞机纵向动力学方程，根据编制的计算机源程序，以典型的Ａ－６舰载机为算例，给出在整个弹射滑跑起飞过程中的ａ，ｘ，ｘ，ｙ和ｙ等弹射运动参数的动态反应特性。     

知识Petri网与机器人装配规划

介绍了知识Petri网（KPN），在柔性装配系统中基于KPN机器人装配规划的任务，以及用KPN为机器人装配规划的任务，以及用KPN为机器人装配规划建模和KPN的运行。文中论述了如何建立邻链表、构造KPN，以及最后如何运行KPN，获得最佳装配规划。最后，阐述了基于KPN的机器人装配规划系统中数据库、规划库及推理机的构造。基于KPN的机器人装配规划，与目前常用的机器人装配规划方法，如启发式搜索法AO和线性规划LP法相比，具有如下主要优点：由于将人工智能用于Petri网中，故智能强；适应性强，既适用于整套产品零件同时到达装配站，也适用于各零件分时到达装配站时的规划；算法简单，规划速度快，更适用于在线规划。     

改进力控方案完成异形孔装配

讨论了改进的力／位混合控制方案、异形孔装配策略规划及其在ＪＲＢ－１机器人上的实现。简述了该方案的优点，在ＪＲＢ－１机器人上实现所解决的问题，提出用适应性增益解决力控环稳定问题。文中还结合异形孔装配给出了装配任务的描述和装配策略的自动生成方法。     

飞机机体使用寿命定义

 <正> The maximum service period reached safely and economically by frames of an airplane is defined as service life. This definition is different from "safe life" or "economic life" specified in MILA-008866A or MIL-A-87221, respectively.It is explicated that service life is related to the overall process of production activity from material to operation management. The paper has also pointed out the way of obtaining the service life.     

大厚度比零件（外侧）和波纹管（内侧）的缝焊研究

某重点型号波纹管组合件的设计要求是缝焊，对照以往产品的结构，比较明显的情况是波纹管在零件的内侧。零件的厚度是3mm，波纹管的厚度是0.1mm，零件与波纹管的厚度比比较大。波纹管在零件的内侧会产生一个问题：波纹管在焊接过程中会逐渐收缩，到最后与零件之间产生间隙，导致局部形不成焊缝。研究通过减小车配间隙,增加冷却手段、滚轮厚度和压力等措施来实现大厚度比的零件和波纹管之间的缝焊。     

Hypervelocity impact induced shock acoustic emission waves for quantitative damage evaluation using in situ miniaturized piezoelectric sensor network

Manmade debris and natural meteoroids, travelling in the Low Earth Orbit at a speed of several kilometers per second, pose a severe safety concern to the spacecraft in service through the HyperVelocity Impact(HVI). To address this issue, an investigation of shock Acoustic Emission(AE) waves induced by HVI to a downscaled two-layer Whipple shielding structure is performed,to realize a quantitative damage evaluation. Firstly a hybrid numerical model integrating smoothparticle hydrodynamics and finite element is built to obtain the wave response. The projectiles, with various impact velocities and directions, are modelled to impact the shielding structure with different thicknesses. Then experimental validation is carried out with built-in miniaturized piezoelectric sensors to in situ sense the HVI-induced AE waves. A quantitative agreement is obtained between numerical and experimental results, demonstrating the correctness of the hybrid model and facilitating the explanation of obtained AE signals in experiment. Based on the understanding of HVI-induced wave components, assessment of the damage severity, i.e., whether the outer shielding layer is perforated or not, is performed using the energy ratio between the regions of ‘‘high frequency" and ‘‘low frequency" in the acquired AE signals. Lastly, the direct-arrival fundamentalsymmetric wave mode is isolated from each sensing signal to be input into an enhanced delay-andsum algorithm, which visualizes HVI spots accurately and instantaneously with different sensor network configuration. All these works demonstrate the potential of quantitative, in situ, and real time HVI monitoring using miniaturized piezoelectric sensor network.