腿臂融合型在轨装配机器人运动建模与步态规划

针对目前机器人在轨装配存在的作业效率低、空间操作受限、环境感知不完全等问题，提出一种腿臂融合型在轨装配机器人。首先，使用D-H法建立了腿臂融合型装配机器人运动学模型，并对其单个腿部进行正逆运动学分析，得到单个腿各个关节角和足端之间的运动关系；其次，分析了腿臂融合型装配机器人的行走步态和装配步态，行走步态中分析了二步态和三步态，装配步态中分析了单臂装配和双臂装配，使机器人达到平稳的行走和装配；最后，基于ROS(robot operating system)搭建仿真平台并对行走步态进行了仿真验证，结果表明提出的方法能够有效用于该机器人的行走。     

某扭力管万向节组件及支撑轴承的正弦振动疲劳研究

本文建立C919某扭力管万向节组件及支撑轴承的有限元模型，对其进行模态分析及正弦分析，推导了正弦振动下的疲劳寿命计算公式并预估了模型的寿命，通过模态试验验证了模型的正确性，通过正弦试验验证了疲劳寿命计算的正确性。该疲劳寿命计算方法可用来预估相关模型的正弦振动疲劳寿命。     

卫星大部件二维转台装配工艺方法

为了满足某卫星大部件二维转台在地面重力状态装配后，保证其在轨解锁前精度一致性，提出了二维转台装配工艺优化方法。首先通过模拟载荷配重试验，探索转台星上接口重力下变化规律，保证结构板组合加工偏差，优化卫星层板组合加工工艺方法;其次分析二维转台机构变形，采用卸载装星工装，并对二维转台卸载装配前后关键变形进行精测对比。二维转台通过模拟试验和卸载装配后，保证了地面重力压紧状态和卸载状态下装配精度均在设计指标内，满足卫星二维转台装配要求。通过模拟试验确定结构加工公差余量，在进行卸载装配时，对卸载前后精度精测对比，是卫星大部件载荷装配工艺的正确方法。     

Enhancement on parallel unstructured overset grid method for complex aerospace engineering applications

In the present study, an efficient overset grid method by means of parallel implicit hole-cutting is proposed for the sake of simulating unsteady flows in aerospace engineering involving multiple bodies in relative movement. In view of the degraded computational efficiency and robustness for conventional overset grid assembly, several innovative techniques are developed within the overset grid assembly process, viz., a bookkeeping alternative digital tree method to speed up the donor-cell search...     

基于机器视觉的搅拌摩擦焊缝装配质量评测方法

搅拌摩擦焊常采用无坡口焊缝,焊缝装配质量对搅拌摩擦焊装配质量影响较大,通过焊缝的特征,可以对搅拌摩擦焊缝的装配质量进行评判。线结构光是提取焊缝特征的常用手段,基于结构光传感器扫描获得的焊缝轮廓信息多通过离散的点进行表示,如何高效地从轮廓点中提取焊缝轮廓信息,是焊缝特征识别的新挑战。本文提出一种基于机器视觉的焊缝装配质量评测方法,将离散的轮廓点转换为位图,通过抗锯齿算法提高轮廓直线特征的识别可靠性,并计算对应焊缝的装配质量信息,进而实现对整条焊缝的装配质量的量化评价。与传统的离散点拟合方法相比,本方法具有较为明显的效率优势。     

六西格玛在军用飞机发动机总装质量控制中的应用

国内某军用飞机主机厂C 发动机装机后存在间隙尺寸超差、装机一次合格率低的问题，为了解决该问题，引入六西格玛质量管理模式的DMAIC 方法对发动机装机流程进行研究。运用多元回归分析、机理分析等确定影响间隙尺寸的关键因子及其影响程度，采用线性拟合得出关键因子最优参数范围，并制定详细控制计划。通过对控制图进行分析，发现改善后的间隙尺寸处于工序稳定状态，发动机装机一次合格率由改善前的65.2% 提升至95%，表明基于六西格玛DMAIC 方法的质量控制对减小生产流程变异，提高生产效率有积极作用。     

A policy iteration method for improving robot assembly trajectory efficiency

Bolt assembly by robots is a vital and difficult task for replacing astronauts in extra-vehicular activities (EVA), but the trajectory efficiency still needs to be improved during the wrench insertion into hex hole of bolt. In this paper, a policy iteration method based on reinforcement learning (RL) is proposed, by which the problem of trajectory efficiency improvement is constructed as an issue of RL-based objective optimization. Firstly, the projection relation between raw data and state-action space is established, and then a policy iteration initialization method is designed based on the projection to provide the initialization policy for iteration. Policy iteration based on the protective policy is applied to continuously evaluating and optimizing the action-value function of all state-action pairs till the convergence is obtained. To verify the feasibility and effectiveness of the proposed method, a noncontact demonstration experiment with human supervision is performed. Experimental results show that the initialization policy and the generated policy can be obtained by the policy iteration method in a limited number of demonstrations. A comparison between the experiments with two different assembly tolerances shows that the convergent generated policy possesses higher trajectory efficiency than the conservative one. In addition, this method can ensure safety during the training process and improve utilization efficiency of demonstration data.     

加工装配误差影响下偏转射流压力伺服阀静态特性分析

电液压力伺服阀是电液压力伺服控制系统的核心控制元件，广泛应用于航空、航天、军事等领域。区别于流量伺服阀，压力伺服阀在滑阀放大器的设计上多采用带有压力控制容腔的三通阀结构，不同的滑阀结构使得现有的偏转射流流量伺服阀仿真模型难以满足压力伺服阀性能预测的需求。本文基于AMESim平台建立了偏转射流压力伺服阀的仿真模型，并通过实验对仿真模型进行了验证，验证结果表明仿真模型能够准确地描述压力伺服阀的静态特性。最后，通过仿真模型分析了加工装配误差影响下压力伺服阀输出性能差异，仿真结果可为偏转射流压力伺服阀的性能预测和结构设计提供参考。