Inner Attitude Integration Algorithm Based on Fault Detection for Strapdown Inertial Attitude and Heading Reference System

This article proposes a new inner attitude integration algorithm to improve attitude accuracy of the strapdown inertial attitude and heading reference system(SIAHRS), which, by means of a Kalman filter, integrates the calculated attitude from the accelerometers in inertial measuring unit(IMU), called damping attitudes, with those from the conventional IMU. As vehicle's acceleration could produce damping attitude errors, the horizontal outputs from accelerometers are firstly used to judge the vehicle's motion so as to determine whether the damping attitudes could be reasonably applied. This article also analyzes the limitation of this approach. Furthermore, it suggests a residual chi-square test to judge the validity of damping attitude measurement in real time, and accordingly puts forward proper information fusion strategy. Finally, the effectiveness of the proposed algorithm is proved through the experiments on a real system in dynamic and static states.     

Radio/FADS/IMU integrated navigation for Mars entry

Supposing future orbiting and landing collaborative exploration mission as the potential project background, this paper addresses the issue of Mars entry integrated navigation using radio beacon, flush air data sensing system (FADS), and inertial measurement unit (IMU). The range and Doppler information sensed from an orbiting radio beacon, the dynamic pressure and heating data sensed from flush air data sensing system, and acceleration and attitude angular rate outputs from an inertial measurement unit are integrated in an unscented Kalman filter to perform state estimation and suppress the system and measurement noise. Computer simulations show that the proposed integrated navigation scheme can enhance the navigation accuracy, which enables precise entry guidance for the given Mars orbiting and landing collaborative exploration mission.     

星间相对测量自主导航的改进容积卡尔曼滤波

针对仅利用星间相对位置测量的双星自主导航系统，提出一种基于可观度的改进容积卡尔曼滤波算法。该算法从系统可观度的物理意义出发，通过对预测协方差阵进行在线调整改善标准容积卡尔曼滤波算法对系统可观度敏感和不满足滤波拟一致性等问题。对具体算例进行数值仿真，校验了该改进容积卡尔曼滤波算法在基于星间相对位置测量的双星自主导航系统中的有效性，与标准容积卡尔曼滤波相比趋稳更快，精度更高。     

末修火箭弹抛物线比例导引的特性

基于抛物线比例导引原理,详细分析了弹道修正所需求的脉冲数。结合抛物线比例导引特性,对规定落角进行了理论分析与仿真。结果表明,规定落角越大,脉冲需求数越小,对规定落角的敏感性越大,落点修正距离会越小。提出了确定规定落角的基本原则:弹道修正段前期,规定落角主要由目标点位置决定,可根据火箭结构特点和使用环境特性,采用非线性控制系统确定;弹道修正段末期,规定落角对落点影响较小,可结合战技指标中毁伤效能要求确定。     

基于WEB的固体火箭发动机集成设计平台

为满足固体火箭发动机设计过程对集成的需求,开发了一个基于WEB的发动机集成设计平台,提出了采用J2EE技术构建基于WEB的集成设计平台方案,建立了集成设计平台体系结构,分析了体系结构中每一层内涵,重点对集成平台功能框架层进行了详细分析,给出了基于J2EE的平台软件实现方案。平台实现了发动机设计过程中应用集成、信息集成和过程集成,能够支持优化设计和分布式设计人员的协同工作。通过在某翼柱型装药固体火箭发动机设计中的应用实例表明,该平台能够有效提高设计效率和质量,显著缩短设计周期。     

大气偏振光导航技术

为克服现有导航技术在战场应用中存在的不足,借鉴生物光学导航机理,开发新的导航方式,是未来导航技术研究的一个重要发展趋势。本文对自然界中的昆虫光学导航机理进行了介绍和分析,并对大气偏振光导航的发展趋势进行了探讨,提出了大气振光导航技术发展过程中需要解决的关键问题。     

无人机机载导弹落角和时间控制导引律研究

改进了一种能同时控制命中角和命中时间的修正比例导引律,将其用到无人机机载空对地导弹中,将其中的剩余时间估计加入了命中角约束的影响,旨在保证无人机机载导弹垂直命中目标的同时,使命中时间更为准确.通过对此导引律和一种仅考虑垂直命中角约束的修正比例导引律以及和改进前导引律的比较,仿真表明,此导引律使无人机机载导弹能在保证垂直...     

一种弹道修正弹SINS任意滚转角快速粗对准方法

针对弹道修正弹药出炮口后滚转角处于随机状态,捷联惯导系统(SINS)失准角过大时卡尔曼滤波收敛困难的问题,提出在卫星拒止环境下利用神经网络快速估计初始滚转角的改进方法。在炮口处布设少量导航信标,建立反向传播(BP)神经网络拟合初始滚转角与观测量间的非线性映射模型。针对信标辅助下姿态弱可观的问题,引入惯导测量参数作为输入,提高网络估计精度。采用主成分分析法进行特征提取,简化网络结构。仿真结果表明,与基于非线性卡尔曼滤波的对准方法相比,本算法可实现任意滚转角下的快速粗对准;对射角、初始俯仰角误差未在训练范围内以及存在布设误差等场景也进行了测试,与未优化的BP网络相比,对准精度更高,鲁棒性更好。     

Navigational Aids and Spatial Memory Impairment: The Role of Divided Attention

Navigational aids impair spatial memory for experienced environments, but the cognitive mechanisms underlying impairment remain an open question. Recent evidence implicates divided attention, but to date no study has directly manipulated divided attention in navigational aid contexts. The present study addresses this need. Participants navigated virtual towns with aid presence and divided attention factorially crossed in a within-participants design. They then completed spatial memory assessments. Divided attention alone impaired spatial memory. Navigational aid presence impaired spatial memory when attention was undivided, replicating previous findings, but did not to a greater extent when attention was divided. These findings suggest that navigational aids divide attention sufficiently to impair spatial memory.     

卫星信号缺失情况下GPS/SINS组合导航系统研究

针对GPS/SINS组合导航在复杂环境中出现的卫星信号不全情况,在分析SINS误差模型的基础上建立了组合导航的松组合和紧组合模型,采用无迹卡尔曼滤波对两种组合模式进行仿真实验.仿真结果显示,在卫星信号正常情况下,紧组合的导航精度高于松组合;在卫星信号缺失时,松组合转变为单纯的惯性导航,导航误差随时间积累,紧组合虽然误差增大,但在一定时间内仍能提供精确导航信息,提高了GPS/SINS组合导航适应复杂环境的能力.