GNSS多系统RTK授时性能分析

RTK授时不依赖实时精密星历,精度高、实现简单,在短距离精密授时与时间同步中具有突出的应用潜力。针对城域环境下单系统RTK授时可能面临可用卫星数量较少、收敛时间较长等问题,验证分析了GNSS多系统RTK授时性能。基于中国科学院国家授时中心时间频率资源和3个GNSS跟踪站的BDS-3、GPS和Galileo观测数据开展多系统RTK授时试验,涉及动态、静态和固定站坐标3种模式,并从授时精度、收敛时间和稳定度3个方面展开分析。两条基线的试验结果表明：与光纤双向时间频率传递结果相比,动态模式下,多系统单频授时差异STD较GPS单系统分别提高9.13%和9.01%,静态模式分别提高6.09%和11.76%,固定站坐标模式分别提高3.04%和5.79%,多系统单频RTK授时的授时结果差异STD优于0.25 ns,双频优于0.15 ns;多系统融合使得RTK授时的收敛时间与GPS单系统相比至少缩短25%以上,静态模式下双频RTK收敛时间缩短最多,两条基线分别缩短66.9%和67.8%;3种模式多系统站间钟差的万秒稳均进入10^-15量级,动态模式和静态模式下短期稳定度相比GPS单...     

电子束熔丝增材制造过程随动测温阵列系统

实时监测电子束熔丝增材制造过程的温度场分布对于抑制变形、提高电子束熔丝增材制造质量具有重要意义.研制了一套电子束熔丝增材制造过程的随行动态测温阵列系统,对整个装置进行了系统设计、硬件集成、软件编写和试验验证.结果表明,该随动测温阵列系统在电子束熔丝增材制造过程的高真空、高温、高辐射、高金属蒸气等恶劣环境中能稳定工作,不...     

Effect of biases in integrity monitoring for RTK positioning

In road transport, continuous high-accuracy positioning is required in real time. To ensure the proper functioning and safety of vehicular applications, integrity monitoring (IM) is needed to protect from the positioning errors under a certain alert limit (AL) with a pre-defined probability of misleading information (MI). In this study, a detailed threat model is developed for real-time kinematic (RTK) positioning application of short baselines. The model distinguishes between ambiguity-float and -fixed scenarios, and considers the influences of phase and code multipath as well as between-receiver atmospheric residuals. With the float ambiguities temporally constrained, the bias contribution that propagates with time-updated ambiguities was studied analytically for the horizontal protection level (HPL) in IM. Based on real data from both static and kinematic experiments, HPL was computed along the direction of the semi-major axis of the horizontal error ellipse. In ambiguity-float and -fixed cases, the HPL was mostly several meters and decimetres, respectively. It was found that time-propagated biases play a dominant role in the ambiguity-float HPL, and among them, phase and code multipath had in general the largest contributions. For ambiguity-fixed case, the phase multipath was found to play a dominant role in the HPL. This shows the importance of considering the biases in the RTK IM for both the ambiguity-float and -fixed scenarios. Given a horizontal alert limit (HAL) of 5 m, the availabilities of ambiguity-float solutions were low, i.e., below 50% for the static roof tests and below 5% for the kinematic road tests. For the ambiguity-fixed scenario, with HAL at 0.5 m, integrity availability was nearly 100% for the static roof tests and above 85% for the kinematic road tests.     

Real-time solution of nonlinear potential flow equations for lifting rotors

Analysis of rotorcraft dynamics requires solution of the rotor induced flow field.Often,the appropriate model to be used for induced flow is nonlinear potential flow theory(which is the basis of vortex-lattice methods).These nonlinear potential flow equations sometimes must be solved in real time––such as for real-time flight simulation,when observers are needed for controllers,or in preliminary design computations.In this paper,the major effects of nonlinearities on induced flow are studied for lifting rotors in low-speed flight and hover.The approach is to use a nonlinear statespace model of the induced flow based on a Galerkin treatment of the potential flow equations.     

A pre-generated matrix-based method for real-time robotic drilling chatter monitoring

Currently, due to the detrimental effects on surface finish and machining system, chatter has been one crucial factor restricting robotic drilling operations, which improve both quality and efficiency of aviation manufacturing. Based on the matrix notch filter and fast wavelet packet decomposition, this paper presents a novel pre-generated matrix-based real-time chatter monitoring method for robotic drilling. Taking vibration characteristics of robotic drilling into account, the matrix notch filter is designed to eliminate the interference of spindle-related components on the measured vibration signal. Then, the fast wavelet packet decomposition is presented to decompose the filtered signal into several equidistant frequency bands, and the energy of each sub-band is obtained. Finally, the energy entropy which characterizes inhomogeneity of energy distribution is utilized as the feature to recognize chatter on-line, and the effectiveness of the presented algorithm is validated by extensive experimental data. The results show that the proposed algorithm can effectively detect chatter before it is fully developed. Moreover, since both filtering and decomposition of signal are implemented by the pre-generated matrices, calculation for an energy entropy of vibration signal with 512 samples takes only about 0.690 ms. Consequently, the proposed method achieves real-time chatter monitoring for robotic drilling, which is essential for subsequent chatter suppression.     

运载火箭控制系统半实物仿真实时网络技术应用研究

针对新一代运载火箭组合化、系统化、通用化的特点,必须在现有的运载火箭控制系统半实物仿真试验的基础上,建立新型的运载火箭控制系统分布式半实物仿真系统,实现仿真设备的组合化、功能的多样化。本文从系统总体角度出发,对运载火箭半实物仿真试验实时网络设备进行深入分析和科学选型,同时对其接口软件进行设计,以提供实时网络各节点之间高效、方便的通信接口。最终设计出比较完备的运载火箭半实物仿真试验实时网络集成方案,确保各种仿真设备能够连成一个有机整体,形成仿真试验能力。     

卫星与深空动态场景实时仿真系统

卫星与深空动态场景的实时仿真对于航空航天、军事国防等领域有着重要意义。现提出了一个深空动态场景的绘制方法，该方法综合了计算机图形学和天文学的知识，建立了基于天文学星表的深空场景模型，计算出卫星及各星体的运行轨迹，实现了卫星目标和深空场景的真实感合成，并采用一系列加速绘制技术，最终实现了深宅动态场景的实时生成和交互式虚拟漫游。     

比例最小偏度单形采样的UKF及其在卫星定轨中的应用

基于Unscented变换(UT),在最小偏度单形采样策略中使用比例修正算法,提出了一种比例最小偏度单形采样的Unscented卡尔曼滤波(UKF)算法,用于基于地基观测的低轨卫星实时定轨.仿真结果表明:比例最小偏度单形采样UKF的精度与比例对称采样UKF相当,但计算效率至少可提高三分之一.     

分布式实时仿真中网络系统扩展的研究与实现

基于实时网络建立的半实物仿真系统能满足强实时性及高精度的要求,随着仿真应用技术的发展,需要参与半实物仿真的实物越来越多,由于共享内存光纤网络产品的飞速发展,如何用最新的实时网产品来扩展原有的实时网络系统是一个必须解决的关键问题。本文阐述了如何扩展的研究结果和实现方法。     

一种基于模糊贴近度的多站数据融合算法

提出了一种基于模糊贴近度的多站数据融合算法。该算法利用模糊贴近度的概念和矩阵特征向量理论,确定多站数据融合算法的各个测量设备的权重。能充分利用测量数据,提高目标跟踪精度。与传统方法相比,该方法计算简便,便于工程实现。