一种组合磁钢叠加磁场洛伦兹力磁轴承设计方法

针对现有洛伦兹力磁轴承功耗较高、工作气隙磁场非均匀性问题，提出一种基于组合磁钢叠加磁场的新型洛伦兹力磁轴承设计方法。首先建立了传统洛伦兹力磁轴承电磁力矩模型，揭示了洛伦兹力磁轴承功耗和控制精度与其磁场性能之间的对应关系。在此基础上，引入了磁场强度均值和磁场均匀度的概念，并以此为依据设计出一种轴向整环充磁磁钢与径向分块充磁磁钢组合工作的新型方案。其中轴向充磁磁钢产生主磁场，保证工作气隙周向均匀性，辅助以径向充磁磁钢，使磁场主要聚集在工作气隙处。相比现有洛伦兹力磁轴承，在相同尺寸约束条件下，新型洛伦兹力磁轴承径向磁场均匀度提升了8.7%，磁场强度提升了51.8%，周向磁场连续性显著提高。仿真结果表明,新型洛伦兹力磁轴承可以有效降低功耗、提升控制精度，研究成果可为研制超高精度磁悬浮惯性机构提供一条新的技术途径。     

A star identification algorithm based on radial and dynamic cyclic features of star pattern

A full-sky star identification algorithm based on radial and dynamic cyclic patterns is presented with the aim of solving the “lost-in-space” problem. The dynamic cyclic pattern match is applied with a maximum cumulate comparison method to identify sensor-catalog pairings in initial match, which substantially eliminates the effects of the star position noise, magnitude noise, and false stars. After initial match pairings of stars are obtained, a chain part extension technique is employed to quickly search for the longest match chain as the final result. Experimental results indicate that the proposed algorithm is highly robust to star position noise, magnitude noise and false stars. In a series of simulations, the identification rate of the algorithm is 97.50% with 2.0 pixels star position noise, 96.90% with 0.4 Mv star magnitude noise and 95.30% with four false stars respectively. Moreover, the algorithm achieves an identification rate of 58.08% when only six stars are in the field of view.     

Thermospheric winds over Abuja during solar minimum period

Monthly variations of averaged nighttime thermospheric winds have been investigated over Abuja, Nigeria (Geographic: 9.06°N, 7.5°E; Geomagnetic: 1.60°S). The reports are based on Fabry-Perot interferometer measurements of Doppler shifts and Doppler broadening of the 630.0 nm spectral emission. The results were obtained during a period of weak solar activity with the solar flux (F10.7) typically below 70 solar flux units. Inspection of the average monthly thermospheric winds from October 2017 to December 2017 found December meridional winds to be more equatorward than the October and November winds. Zonal winds are eastward with pre-midnight maximum speeds going above 100 m/s. Compared to Jicamarca zonal winds in the Peruvian sector for the same month of October, the magnitude of maximum Abuja zonal wind speed is weaker. We compare the observed diurnal variation with the recently updated Horizontal wind model (HWM 14). Most of the observational features of thermospheric wind diurnal variation are captured in the model variation. The HWM14 generally showed good agreement with the Abuja October and November zonal wind observations but overestimates the December meridional winds. Expected longer period analysis of the results from Abuja will stimulate a better understanding of wind climatology over the West African sector.     

近地径向等质量共线三星库仑编队飞行队形保持研究

研究了近地径向等质量共线三星库仑编队飞行队形保持控制问题。针对三星库仑编队相对运动动力学的复杂性，运用绳系编队的建模思想，建立了径向等质量共线三星库仑力编队在地球同步轨道处的非线性相对运动动力学模型。考虑库仑编队动力学特性和环境干扰不确定因素影响，基于该非线性动力学模型，设计了地球同步轨道处的等质量三星库仑编队滑膜反馈控制律，在滑模控制中加入了线性反馈项提高控制器的稳定性和准确性，同时保证了编队整体的鲁棒性。仿真结果表明,该控制律能够使编队达到预期静态构型，具有良好的控制性能。     

Space object material identification method of hyperspectral imaging based on Tucker decomposition

Space object material identification method based on Tucker decomposition is proposed and demonstrated experimentally. Space target generally has a low spatial resolution because of the limitation in detection distance. Hyperspectral imaging (HSI) technology can capture the image from visible light to shortwave infrared continuously while providing the spatial and spectral information of the target, thereby introducing a new space target detection and identification approach. However, the data obtained by the HSI system often contain mixed pixels, thereby causing difficulties in target material identification. In this work, a material identification method of hyperspectral data based on Tucker decomposition is proposed by combining mixed spectral theory with tensor decomposition. The feasibility of the method is verified by using satellite model hyperspectral data with different spatial resolutions compared with the endmember obtained from the non-negative matrix decomposition (NMF), independent component analysis (ICA), tensor singular value decomposition (t-SVD). The average CORR of NMF, ICA, t-SVD and the proposed method is 0.2694, 0.5818, 0.6397 and 0.937, correspondingly. Therefore, the proposed method has demonstrated a more remarkable performance in terms of material identification, the analysis results of the material abundance distribution that used the proposed method.     

用于离心式作动器的变滑模面滑模控制

作动器系统是组成直升机结构响应主动控制（ACSR）系统的重要子系统之一，为解决离心式作动器同时实现输出力幅值、相位和频率跟踪以及输出力跟踪误差问题，提出了一种基于滑模变结构控制的变滑模面控制（VSMSMC）方法。首先，根据离心式作动器原理建立了偏心块的输出力方程以及包含参数变化、外部扰动及线性摩擦等不确定因素的永磁同步电机（PMSM）动态方程；然后，通过对离心式作动器输出力控制原理进行分析，结合滑模控制理论的特点，将离心式作动器偏心块相位控制期望信号引入滑模控制的滑模面方程，设计了基于PMSM电流环的变滑模面滑模控制律，并利用李雅普诺夫函数证明了所设计的滑模控制律的可达性和稳定性。最后，在MATLAB/Simulink环境下将所设计控制律应用于离心式作动器输出力控制进行了仿真实验，与现有方法相比，所设计控制律能够较好地同时跟踪期望谐波力的幅值、相位和频率，提高了离心式作动器跟踪精度和离心作动器启动时的输出力跟踪响应速度并具有较好的抗干扰能力。     

新Omega涡识别法在液体火箭发动机涡轮氧泵中的应用

离心泵中流动不稳定现象与流场中旋涡的形成及演化过程密切相关。为解决传统涡识别法在高速离心泵流场涡结构捕捉方面的缺陷,引入新Omega涡识别法,对液体火箭发动机涡轮氧泵流场中的涡结构进行了分析。确定了新Omega涡识别法在高速离心泵流场涡结构捕捉方面的优势,利用该方法对涡轮氧泵中离心轮与扩压器之间的动静干涉机理进行了阐释。结果表明:对于高速离心泵,传统Q准则以及λ2准则涡识别法错误地将壁面强剪切层识别为旋涡,而新Omega涡识别方法能够有效滤除流场中非旋转涡量部分,较好地捕捉流场中涡结构,可作为高速离心泵流场涡结构识别的首选方法。通过离心轮与扩压器动静干涉区域旋涡演化过程分析可知,涡轮氧泵离心轮与扩压器之间的动静干涉效应主要源自于扩压器叶片压力面上的周期性涡脱落现象。     

密闭微环境突发污染源动态散发特性辨识

载人航天器、飞机、潜艇等密闭微环境,随着人员停留时间的延长,舱室空气污染问题已成为危害工作人员生命安全的主要因素.为了提高上述密闭环境主动应对突发污染的能力,建立一种新的浓度离散随机模型,提出采用敏感性分析算法实现污染源定位及强度估计,利用隐式与显式卡尔曼滤波相结合的方法同时完成污染源散发特性的动态辨识及舱室空气污染物的浓度预测;分析了不同位置处的传感器可辨识区域,给出最优传感器布置策略.仿真结果证实了敏感性分析算法及隐式与显式卡尔曼滤波相结合方法能够实现污染源散发特性的快速准确辨识.     

近耦合鸭式布局鸭翼展向零质量射流控制技术实验研究

结合鸭式布局和机翼展向吹气的优点,采用鸭翼展向零质量射流间接涡控技术提高战斗机大迎角和过失速机动性能.其主要利用鸭翼涡与主翼涡之间的有利干扰,零质量射流直接增强鸭翼涡,同时间接增强主翼涡.本文利用低速风洞测力测压实验,研究展向零质量射流对近耦合鸭式布局增升影响规律.在不同雷诺数下,通过改变零质量射流的频率来揭示零质量射流与鸭式布局气动力之间的关系.本研究为新一代战斗机研制提供一定的技术储备.     

用直接测力方法进行软质翼型的气动特性研究

在西北工业大学NF-3低速风洞运用翼型气动力直接测量的方法对软质翼型进行风洞试验研究,对比了软、硬质翼型模型的试验结果.结果表明:软质翼型模型与硬质翼型模型在相同风速下具有不同的气动力特性.在一定风速下,软质翼型模型的表面会发生变化,从而影响了气动力.由于该影响非常复杂,因此在研究软质翼型模型的气动特性时进行风洞试验是必要的.