基于行列式柔性工装快速重构方法的研究

针对飞机薄壁件加工的技术难点,在行列式柔性工装系统的基础上,通过分析系统机构和运行原理,建立数学模型,提出了工装快速重构的智能方法。该方法根据工件的外形以及待加工孔位信息,确定POGO柱的吸附位置,并通过DELMIA装配仿真进一步确定POGO柱的吸附位置以及相对与工装基准面的伸出距离。仿真结果表明,该方法可以使该柔性工装系统针对不同的产品模型进行快速重构,满足飞机薄壁件的加工需求。     

如何实现飞机外形计算程序系统的标准化

近年来,计算技术和数控技术已开始应用于我国各飞机工厂。在飞机制造中,采用计算和数控技术,首先需要建立飞机外形的数学模型及编制外形计算程序系统。外形数学模型及计算程序系统,就如同常规工艺方法中的理论模线一样,作为外形传递的原始依据,它直接影响到整个飞机生产的质量和周期。常规工艺方法中,绘制模线的周期较长(歼击机一般需     

采用激光跟踪仪测量飞机外形

利用激光跟踪仪测量空间点坐标的原理，通过“转站”建立飞机坐标系，采集飞机外形坐标点云，处理数据并建立数学模型。     

蒙皮卡板式铣切工装技术研究

蒙皮是飞机零件中最重要的零件之一,蒙皮零件的外形精度和表面质量对飞机装配和疲劳寿命等起到关键作用。现阶段存在蒙皮零件手工切割外形精度不高、表面质量差、工作周期长等现象,以及蒙皮专用实体铣切工装制造成本高、存放空间紧张等问题。通过研究一种全新的工装结构形式作为铣切辅助工具,即卡板式铣切工装,结合五座标数控铣切设备切割蒙皮外形和内孔,解决了手工切割蒙皮造成的精度和表面质量差的问题,同时节约了铣切工装的制造成本和工装的存放空间,为蒙皮铣切提供了一种新的加工模式。     

可移动柔性工装对接稳定性研究

随着航空工业的快速发展,传统飞机工装已经不足以满足实际生产过程中的需要。因此,为提高生产效率,实现智能化装配过程,数字化柔性工装成为飞机工装制造的主流发展方向。通过对工装本身设计特点所需体现的关键测量特性进行控制,结合数字化测量设备坐标系建立与拟合的原理,完成可移动柔性工装在移动过程中的对接稳定性研究,进而提高飞机的测量精度和装配效率。     

可移动柔性工装对接稳定性研究

随着航空工业的快速发展,传统飞机工装已经不足以满足实际生产过程中的需要。因此,为提高生产效率,实现智能化装配过程,数字化柔性工装成为飞机工装制造的主流发展方向。通过对工装本身设计特点所需体现的关键测量特性进行控制,结合数字化测量设备坐标系建立与拟合的原理,完成可移动柔性工装在移动过程中的对接稳定性研究,进而提高飞机的测量精度和装配效率。     

飞机数模件的检验方法—四座标数控铣床的改进

一、数模检验的必要性飞机外形由于空气动力学的要求,引起对外形要求严格的曲面需要以数学模型去表征,以飞机气动外形数据光顺处理之后,建立各部分外形曲面的数学函数方程,与外形计算有关数值直接传递到飞机零件上,因而提供给数控铣床切削加工的不再是历来沿用的零件图纸,而是计算机输出的加工程序,因此数模零件和     

飞机生产准备技术的发展

分析了新型飞机结构和新型工装技术的采用对传统飞机生产准备技术的影响，介绍了工装设计和工装制造的几个发展方向，并提出了无标工的工装制造概念     

飞机座舱段机身曲面造型智能化设计的研究

应用双三次B样条曲面理论建立了飞机座舱段机身曲面的数学模型，并利用C语言编程，实现了通过型值点数据反算出控制顶点，再经过理论外形计算和三维图形变换，进而随机显示飞机座舱段机身曲面造型的智能化设计。     

飞机蒙皮柔性检测工装的应用

针对现代飞机蒙皮零件在试制阶段高精度、低成本、短周期的制造需求,需要研究一种数字化、柔性、低成本、快速生产的检测工装,飞机蒙皮柔性检测工装恰好符合这种具有小批量、低成本、高精度要求的飞机蒙皮件生产的需要.     

一种新的泊位飞机阴影分割方法

飞机泊位自动引导系统中,识别跟踪定位泊位飞机时,会出现灰度较低区域被误判为阴影区域的现象,严重影响识别效果,因此分割飞机阴影是泊位成功与否的关键技术。提出一种将形态学的幂变换与无边界主动轮廓线模型结合的阴影分割方法,首先利用多方向权重形态学对泊位飞机图像中的噪声和微小的干扰区域进行滤除,然后进行幂变换来增强图像质量,最后利用无边界主动轮廓线模型分割阴影。实验结果表明,该方法不仅能够滤除噪声,保留图像细节,而且能提高分割阴影的精确度,并且抑制了泊位飞机分割产生的＂拖尾＂现象,有效地检测出运动飞机的阴影。     

基于3D打印的舵面可调实用化飞机风洞模型的设计与试验

飞机风洞试验模型的设计和加工是风洞试验的重要环节,对飞机研制的周期和成本具有重要的影响。为提高飞机研制的效率,基于3D打印技术提出了实用化飞机风洞模型的设计和制造方法。采用3D打印加工树脂气动外壳和机加工金属强化骨架的复合结构方案,设计并测试了某型号飞机的低速全机测力模型。提出了变角片和旋转轴-定位销两种舵面偏角方案,设计了内嵌金属套筒用以降低因装拆磨损带来的树脂精度损失。采用计算流体力学与计算结构力学（CFD/CSD）分析技术,对模型的设计进行了强度校核。加工装配的复合模型在FD-09低速风洞进行了吹风试验。试验结果显示：带舵面偏角的复合模型在迎角α=8°和风速V=70 m/s条件下安全,其气动数据与金属模型吻合良好,具有实用性。相比金属模型,树脂-金属复合模型的加工周期和成本大幅降低,可有效响应飞机设计工作者对模型快速设计和加工的需求,有助于提高飞机设计效率。     

某型机外形数模修形设计

在某型机外形数模修形设计过程中,探讨如何确定修形原则,即针对存在各种问题的曲面形态,如何确定不同的修形方法,使整个飞机外型数模达到光顺性、结构可实施性、曲面连续性要求。     

Ground maneuver for front-wheel drive aircraft via deep reinforcement learning

The maneuvering time on the ground accounts for 10%–30% of their flight time, and it always exceeds 50% for short-haul aircraft when the ground traffic is congested. Aircraft also contribute significantly to emissions, fuel burn, and noise when taxiing on the ground at airports. There is an urgent need to reduce aircraft taxiing time on the ground. However, it is too expensive for airports and aircraft carriers to build and maintain more runways, and it is space-limited to tow the aircraft fast using tractors. Autonomous drive capability is currently the best solution for aircraft, which can save the maneuver time for aircraft. An idea is proposed that the wheels are driven by APU-powered (auxiliary power unit) motors, APU is working on its efficient point; consequently, the emissions, fuel burn, and noise will be reduced significantly. For Front-wheel drive aircraft, the front wheel must provide longitudinal force to tow the plane forward and lateral force to help the aircraft make a turn. Forward traction effects the aircraft’s maximum turning ability, which is difficult to be modeled to guide the controller design. Deep reinforcement learning provides a powerful tool to help us design controllers for black-box models; however, the models of related works are always simplified, fixed, or not easily modified, but that is what we care about most. Only with complex models can the trained controller be intelligent. High-fidelity models that can easily modified are necessary for aircraft ground maneuver controller design. This paper focuses on the maneuvering problem of front-wheel drive aircraft, a high-fidelity aircraft taxiing dynamic model is established, including the 6-DOF airframe, landing gears, and nonlinear tire force model. A deep reinforcement learning based controller was designed to improve the maneuver performance of front-wheel drive aircraft. It is proved that in some conditions, the DRL based controller outperformed conventional look-ahead controllers.     

数字化仿真测量在飞机装配中的应用

阐述了一种面向飞机装配过程的数字化仿真测量方法,该方法以西门子VSA 软件为平台,通过对同轴度及外形轮廓的测量分析,分别介绍了常规测量与仿真测量的测量原理及测量方法,并对两种测量进行分析对比,进而说明了仿真测量具有的特点及优势,在飞机装配中具有一定的实际操作推广价值。     

多轴多回路人机控制系统模型与仿真

针对驾驶员完成飞机机场下滑过程的多轴多回路控制任务,分析了人的控制行为特点,确定出驾驶员的信息反馈,形成了机系统的闭环控制结构,根据驾驶员对各控制回路的注意力分配和人机自适应规律性,选择相应的驾驶员模型形式并确定其参数,建立了多轴多回路的人机控制系统模型,最后,对风切变大气环境下驾驶员控制的飞机进场下滑过程进行了仿真计算,结果表明,所建立的人机控制系统模型是合理的,对飞行品质研究有参考价值。     

一种改进的地形轮廓预测匹配辅助导航算法

传统的地形轮廓匹配 (TERCOM )辅助导航系统 ,由于其实时性差 ,已不能满足飞行器超低空高速的导航需要。本文引入预测控制的思想 ,提出了一种基于高度特征的地形轮廓预测匹配方法 ,减少了计算量 ,提高了导航系统的实时性和机动性。     

结构驾驶员模型与McRuer模型的仿真研究

根据驾驶员完成俯仰跟踪的人－机半物理实时仿真实验，分别对结构驾驶员模型和ＭｃＲｕｅｒ模型者了参数辨识，用两种模型和某电传操纵飞机纵向短周期等效系统模型构成人－机数值仿真系统，将模型仿真结果和实时仿真结果进行比较和分析，以便了解两种模型的特性，为深入研究闭环飞行品质提供参考依据。     

A study of morphing aircraft on morphing rules along trajectory

Morphing aircraft can meet requirements of multi-mission during the whole flight due to changing the aerodynamic shape, so it is necessary to study its morphing rules along the trajectory. However, trajectory planning considering morphing variables requires a huge number of expensive CFD computations due to the morphing in view of aerodynamic performance. Under the given missions and trajectory, to alleviate computational cost and improve trajectory-planning efficiency for morphing aircraft, an offline optimization method is proposed based on Multi-Fidelity Kriging (MFK) modeling. The angle of attack, Mach number, sweep angle and axial position of the morphing wing are defined as variables for generating training data for building the MFK models, in which many inviscid aerodynamic solutions are used as low-fidelity data, while the less high-fidelity data are obtained by solving viscous flow. Then the built MFK models of the lift, drag and pressure centre at the different angles of attack and Mach numbers are used to predict the aerodynamic performance of the morphing aircraft, which keeps the optimal sweep angle and axial position of the wing during trajectory planning. Hence, the morphing rules can be correspondingly acquired along the trajectory, as well as keep the aircraft with the best aerodynamic performance during the whole task. The trajectory planning of a morphing aircraft was performed with the optimal aerodynamic performance based on the MFK models, built by only using 240 low-fidelity data and 110 high-fidelity data. The results indicate that a complex trajectory can take advantage of morphing rules in keeping good aerodynamic performance, and the proposed method is more efficient than trajectory optimization by reducing 86% of the computing time.     

An optimization model of parameter matching for aircraft catapult launch

To efficiently and fully utilize aircraft carrier resources, an optimization model is presented to deal with parameter matching between aircraft and carrier in the process of aircraft catapult launch. Based on carrier aircraft longitudinal dynamic equations and theorem of kinetic energy in catapult launch course, the work characteristics of different forces are learned and a theory model of parameter matching is deduced. In view of the uncertainty of the model parameters of the theory model and the low matching accuracy of the approximate model, an optimization model of parameter matching is introduced in line with the structure of theory model and the approximate model and is generated by the proposed immune genetic algorithm. Compared with the original genetic algorithm and immune algorithm, the proposed algorithm has better calculation accuracy and convergence. The calculation results show that the optimization model occupies certain application value of engineering estimation from the comparison with the relevant literature data and has higher precision than the approximate models. The validity of the proposed approach is verified with numerical case study on a carrier based aircraft.