A320飞机自动刹车激发逻辑故障的排查

针对一起空客A320飞机自动刹车激发和解除逻辑故障进行了深入分析,总结出产生此类故障的真实原因,对排除类似故障具有一定的参考意义.     

离心压气机级串列叶栅扩压器内流场的数值研究

对某一带串列叶栅扩压器的离心压气机级进行了数值模拟,分析了串列叶栅扩压器后排叶片不同周向位置对压气机级流动及性能的影响.结果表明:串列叶栅扩压器性能优于单列叶栅扩压器,其后排叶片在不同周向位置处效率和压比均优于单列叶栅扩压器,效率提高幅度能达到1.9%,压比的提高幅度为2.85%.串列扩压器分流叶片的周向位置对其内部流动情况有显著影响,两排叶片之间存在一个最佳位置使扩压器损失最小.串列叶栅扩压器的主要损失集中在50%叶高以上的区域.      

头盔伺服系统的主动柔顺控制

 对头盔伺服系统(HMDPM)主动柔顺控制策略的主要内容——轨迹规划和控制方法进行了研究。首先,采用基于力反馈和滑动杆动力学模型的头部运动预测法进行轨迹规划,该方法利用并联机构(PM)分支杆长与运动平台位姿间的映射关系,通过力反馈信息和6-3UPS并联机构滑动杆动力学模型对头部运动进行预测,为头盔伺服系统的位置控制提供期望轨迹;然后,基于头盔伺服系统的动力学模型对系统的惯性项和非线性项进行了计算,设计了惯性项和非线性项补偿控制器,在进行头部运动跟踪的同时,实现了头盔显示器与头部间接触力的控制;最后,采用SimMechanics模块建立了HMDPM—人交互模型,并进行了相关验证实验。仿真结果表明,基于力反馈和滑动副滑动杆动力学模型的头部运动预测法能实时地、较为准确地预测出头部运动位置;基于动力学模型的惯性和非线性项补偿控制器不仅可以较为准确地跟踪头部运动,而且还能有效地减小头盔显示器与头部间的接触力,降低执行机构的刚度、减少系统摩擦力等非线性因素对使用者的干扰。     

毫米波制导导弹系统误差及捕获概率研究

分析了毫米波制导导弹系统误差源及其分布特性,该误差直接决定所需导引头动态视场的大小;对导引头动态视场的影响因素进行了分析,并计算了导引头在不同条件下的动态视场,基于此计算了导引头捕获概率。研究结果可以直接应用于毫米波制导导弹的工程研制,并且可以对同类的自寻的导弹工程研制起借鉴作用。     

A two-step robust adaptive filtering algorithm for GNSS kinematic precise point positioning

In kinematic navigation and positioning, abnormal observations and kinematic model disturbances are one of the key factors affecting the stability and reliability of positioning performance. Generally, robust adaptive filtering algorithm is used to reduce the influence of them on positioning results. However, it is difficult to accurately identify and separate the influence of abnormal observations and kinematic model disturbances on positioning results, especially in the application of kinematic Precise Point Positioning (PPP). This has always been a key factor limiting the performance of conventional robust adaptive filtering algorithms. To address this problem, this paper proposes a two-step robust adaptive filtering algorithm, which includes two filtering steps: without considering the kinematic model information, the first step of filtering only detects the abnormal observations. Based on the filtering results of the first step, the second step makes further detection on the kinematic model disturbances and conducts adaptive processing. Theoretical analysis and experiment results indicate that the two-step robust adaptive filtering algorithm can further enhance the robustness of the filtering against the influence of abnormal observations and kinematic model disturbances on the positioning results. Ultimately, improvement of the stability and reliability of kinematic PPP is significant.     

基于自适应融合的弹道目标空间位置重构

由于进动锥体目标参数存在耦合,单部雷达不易获取同时参数估计误差较大。针对这一问题,提出了一种联合多部雷达不同视角微动信息进行参数提取与融合的新方法。首先,对进动目标进行了建模和散射点距离像分析,并利用Hough变换实现了锥顶散射点的关联。然后,联立2部雷达的微动信息作为求解单元来对耦合参数进行解耦,求出相应的参数。同时以进动角为例进行了误差方差分析,以融合后误差方差最小为原则对权系数进行了求解,并对其余参数进行了相同的处理。最后,在一个进动周期内,根据求出的锥体顶点坐标和锥旋轴矢量实现了锥体目标空间位置的重构。仿真结果表明该融合方法能够提高参数精度并能对锥体空间位置进行重构。     

叶型上局部凸起对扩压器性能影响的数值研究

借助CFD数值模拟技术,对四种常规叶片扩压器（不同凸起位置）内部流场进行了数值模拟,研究了不同凸起位置对扩压器性能的影响,讨论了改变叶片凸起位置对扩压器静压恢复系数、总压损失系数等性能参数的影响,以为小型/微型发动机的叶片扩压器的优化设计提供一定的参考价值。结果表明,当叶片扩压器产生局部凸起时,在流动进入叶片扩压器凸起截面后面产生了低速流动,导致了明显的总压损失,使得叶片扩压器的效率降低。叶片中间产生凸起对于叶片扩压器的总压损失最高。在工程实际中叶片扩压器如果产生局部凸起,尽量选择在叶片前端。     

轴流透平时序定位方法的探讨

利用时序效应原理,对一个1.5级轴流透平前后级静叶的周向定位提出简单的方案,以期能够达到最高效率,并利用Numeca软件对此周向定位方法进行了准三维的数值模拟验证,结果表明:该方法在叶轮机构前后级叶片定位的设计中有一定的参考价值.      

组合抽吸对大转角扩压叶栅性能的影响

实验研究了低速条件下在端壁和吸力面同时进行附面层吸除对某大转角扩压叶栅性能的影响.在叶片表面及端壁进行了墨迹流动显示,并对叶栅出口截面进行了测量.基于实验的抽吸槽布置方式:端壁吸气主要影响区域是吸力面角区;吸力面抽吸可以减小角区范围,延迟叶片吸力面附面层转捩,改善中径处流场;组合抽吸则优化了叶栅整体流场,使流动更加均一高效,由于削弱了端壁和吸力面附面层间的相互作用,组合抽吸在大吸气量下优于前两种吸气方式.      

Monocular Vision-based Two-stage Iterative Algorithm for Relative Position and Attitude Estimation of Docking Spacecraft

Visual sensors are used to measure the relative state of the chaser spacecraft to the target spacecraft during close range rendezvous phases. This article proposes a two-stage iterative algorithm based on an inverse projection ray approach to address the relative position and attitude estimation by using feature points and monocular vision. It consists of two stages: absolute orientation and depth recovery. In the first stage, Umeyama's algorithm is used to fit the three-dimensional (3D) model set and estimate the 3D point set while in the second stage, the depths of the observed feature points are estimated. This procedure is repeated until the result converges. Moreover, the effectiveness and convergence of the proposed algorithm are verified through theoretical analysis and mathematical simulation.