液体离心式喷嘴脉动流量测量方法

为了对离心喷嘴动态特性进行实验研究,根据离心喷嘴内部流动的特点,以多孔钛材料为电极并结合锁相放大电路研制了一种离心喷嘴内部脉动流量的测量装置,并对敞口型模型离心喷嘴进行了实验测量。初步实验结果表明此方法及测量传感器可用于离心喷嘴内部脉动流量测量,对离心喷嘴动态特性的实验研究具有重要意义。     

多敏感器卫星姿态确定的联邦滤波器设计

针对由惯性测量组件、星敏感器、数字式太阳敏感器和红外地球敏感器构成的卫星姿态确定系统 ,提出采用联邦滤波器进行信息融合。设计了多敏感器信息融合的联邦滤波器结构和算法 ,推导了卫星姿态确定的误差状态方程和各子系统的量测方程。仿真分析结果表明 ,采用联邦滤波器对多敏感器卫星姿态确定系统进行信息融合 ,能够以较小的计算量实现高精度的信息融合 ,并且还能使高精度的信息融合具备容错性能     

基于双观测器的卫星姿控系统敏感器故障隔离

卫星的姿态测量部件通常包括光学敏感器和惯性敏感器,这两类敏感器的故障隔离是卫星闭环姿控系统故障诊断的难点之一。利用双观测器方法实现两类敏感器的故障隔离,由卫星姿态运动学方程可知,这两类敏感器的输出存在解析冗余,可建立一个"虚拟"系统。对这个系统设计两个不同的观测器,其中一个是Kalman滤波器,能检测两类敏感器的故障;另一个是隔离观测器,能检测光学敏感器的故障,通过比较这两个观测器的输出残差,达到故障隔离的目的。将该方法应用于包含太阳敏感器、红外地球敏感器和陀螺的卫星姿控系统的故障诊断,数学仿真结果验证了这种方法的有效性。     

基于极大似然的单传感器误差配准算法

对单传感器系统误差配准问题进行了研究,首先理论分析了传感器量测系统误差对固定目标探测定位的影响,给出了传感器运动将造成固定目标产生虚像做类似运动的结论;在此基础上,提出了一种基于极大似然的单传感器误差配准算法,该算法基于极大似然准则,利用运动传感器对固定目标虚像位置的多时刻跟踪滤波信息,构建对传感器量测系统误差的极大似然估计,并通过进一步迭代估计获得系统误差最终估计结果,从而能够利用位置未知的固定目标实现运动平台单传感器量测系统误差的精确配准。     

遥感卫星立体影像传感器模型综述

文章首先介绍了遥感卫星立体影像传感器模型的主要类型;然后从模型数学表达式、对影像的处理精度和应用范围等几个方面对目前几种主流传感器模型进行了分析;最后比较了不同传感器模型的优缺点,对遥感卫星立体影像处理模型的选择提出了建议。     

Metrology on-board PROBA-3: The shadow position sensors subsystem

PROBA-3 is an ESA mission aimed at the demonstration of formation flying performance of two satellites that will form a giant coronagraph in space. The first spacecraft will host a telescope imaging the solar corona in visible light, while the second, the external occulter, will produce an artificial eclipse. This instrument is named ASPIICS (Association of Spacecraft for Polarimetric and Imaging Investigation of the Corona of the Sun). To accomplish the payload's scientific tasks, PROBA-3 will ensure sub-millimeter reciprocal positioning of its two satellites using closed-loop on-board metrology. Several metrology systems will be used and the Shadow Position Sensor (SPS) subsystem senses the penumbra around the instrument aperture and returns the 3-D displacement of the coronagraph satellite, with respect to its nominal position, by running a dedicated algorithm. In this paper, we describe how the SPS works and the choices made to accomplish the mission objectives.     

An intelligent algorithm for coherent sound source localization based on a strong tracking filter

Background noise is inevitable when sensor arrays are used for aeroacoustic measurements in wind tunnels. The direct removal of background noise, however, would affect the measurement accuracy. In particular, the existing array signal processing algorithms are either invalid or inefficient for removing the noise that is coherent with the signal of interest. In this paper, an intelligent algorithm is developed to localize the coherent sound sources and background noise in real time by iteratively checking the collected data from the array. The proposed method can automatically adjust the suboptimal fading factor to extract useful information as much as possible in residual sequence. This algorithm is tested in simulations and then demonstrated in an experiment.Compared to the two existing methods, the results indicate that the new method has a good phase-shift tracking ability and rapid estimation-error convergence speed, and can achieve an acceptable performance even for low-cost acoustic sensors. Overall, the proposed method should assist array beamforming and hence benefit aeroacoustic measurement.     

BN/SiBCN light-leakage-proof coatings of silica optical fiber for long term sensors at high temperatures

SiBCN and BN/SiBCN light-leakage-proof coatings were prepared on silica optical fibers for sensing applications at high temperatures. Scanning electron microscopy was used to characterize the surface morphology and microstructure of the coated fiber. Mechanical and optical properties of the coated fiber were characterized by Raman, optical and tensile tests. Compared with the original fiber, the tensile strength of SiBCN and BN/SiBCN coated fiber show an increase of about 60% and 90% at room temperature, respectively. In addition, the tensile strength of BN/SiBCN coated silica optical fiber was increased by about 42% at 700 °C. It has been found that the improvement of the strength of BN/SiBCN coated silica optical fiber is related to the healing of defects and residual compressive stress in fibers. From the light transmittance performance of the coated fiber, it was found that BN/SiBCN double coating could be an ideal total reflection solution to protect silica optical fiber from light leakage during high temperature sensing operation.     

Three-dimensional analysis of relationship between relative orientation and motion modes

Target motion modes have a close relationship with the relative orientation of missile-totarget in three-dimensional highly maneuvering target interception. From the perspective of relationship between the sensor coordinate system and the target body coordinate system, a basic model of sensor is stated and the definition of relative angular velocity between the two coordinate systems is introduced firstly. Then, the three-dimensional analytic expressions of relative angular velocity for different motion modes are derived and simplified by analyzing the influences of target centroid motion, rotation around centroid and relative motion. Finally, the relationships of the relative angular velocity directions and values with motion modes are discussed. Simulation results validate the rationality of the theoretical analysis. It is demonstrated that there are significant differences of the relative orientation in different motion modes which include luxuriant information about motion modes. The conclusions are significant for the research of motion mode identification,maneuver detection, maneuvering target tracking and interception using target signatures.     

A satellite schedulability prediction algorithm for EO SPS

With notably few exceptions, the existing satellite mission operations cannot provide the ability of schedulability prediction, including the latest satellite planning service (SPS) standard-Sensor Planning Service Interface Standard 2.0 Earth Observation Satellite Tasking Extension (EO SPS) approved by Open Geospatial Consortium (OGC). The requestor can do nothing but waiting for the results of time consuming batch scheduling. It is often too late to adjust the request when receiving scheduling failures. A supervised learning algorithm based on robust decision tree and bagging support vector machine (Bagging SVM) is proposed to solve the problem above. The Bagging SVM is applied to improve the accuracy of classification and robust decision tree is utilized to reduce the error mean and error variation. The simulations and analysis show that a prediction action can be accomplished in near real-time with high accuracy. This means the decision makers can maximize the probability of successful scheduling through changing request parameters or take action to accommodate the scheduling failures in time.