民用飞机最小离地速度试飞实施方法研究

对民用飞机最小离地速度( VMU )试飞实施方法进行了研究,主要包含了条款的理解、试验准备、试验分工、模拟器工作准备、试飞技术和数据处理等内容,为民用飞机最小离地速度试飞提供指导。同时作为国内新兴的职业---试飞工程师( FTE),也对其在试飞过程中的分工和职责进行了阐述。     

Solar signals in the minimum extreme temperature records in the southern region of the Gulf of Mexico

Minimum extreme temperature series from several meteorological stations of the Gulf of Mexico are spectrally analyzed using the Maximum Entropy Method.We obtained significant periodicities similar to those found in meteorological and solar activity phenomena. This indicates that probably the solar activity signals are present in the minimum extreme temperature records of this Mexican region.     

基于方差分析的某轴流式压气机失速征兆起始检测

及时、准确地检测到压气机不稳定工作的征兆对于保障飞行安全具有重要的意义。为了对某涡喷发动机进行稳定性监控,对节流过程中的压气机机匣壁面静压信号进行了方差分析。分析表明,压力信号的方差可以表征压气机工作状态变化对信号脉动强度的影响,可以提前0 03s-0 07s检测到失速起始征兆,由于算法简单,该方法具有较大的工程应用价值。     

直接扩频通信系统中最小误码率准则下的特征相消器

首先研究最小误码率准则下的特征相消器,再由最小化误码率（MBER）准则和约束条件的最小均值输出能量（MMOE）准则之间存在的关系,将MBER准则下特征相消器的设计转化为约束条件的MMOE下的干扰抑制器的设计,并利用子空间跟踪算法实现MMOE准则下的干扰抑制器。仿真表明,采用子空间跟踪算法比同准则下的RLS算法有更低的计算量和更好的抗干扰效果。     

杂波环境下的机动目标检测和跟踪算法

交互多模式(IMM)是一种有效的机动目标跟踪算法,但由于其要求具有很多的先验前提条件而不利于工程实现.研究了一种杂波环境下更适合于工程实现的机动目标(同样适用非机动目标)的跟踪算法,该算法通过一种由测量位置估计误差决定的机动检测函数来实现杂波背景中的机动目标检测,并通过改变Kalman滤波的相关参数,实现自适应跟踪.该算法克服了IMM算法的模式限制和复杂性,同时也避免了对非机动目标的跟踪中,在跟踪模式间相互切换时所换造成的影响.通过在空管系统(ATC)的大量模拟实验,验证了该算法的有效性和重大应用价值.     

Minimum sliding mode error feedback control for fault tolerant small satellite attitude control

This paper proposes a new control strategy (which we call “minimum sliding mode error feedback control, MSMEFC”) for small satellite attitude control. As we know, the attitude control algorithm plays a significant role in the whole performance of the satellite, especially under the existence of uncertain disturbances from the space. Without loss of generality, the MSMEFC is presented based on the sliding mode theory. It is assumed that the equivalent control error is defined to offset the uncertain disturbances to improve the control performance. Hence, in order to estimate the optimal equivalent control error, a cost function is derived on the basis of the principle of minimum sliding mode error. Then, the equivalent control error wills feedback to the conventional sliding mode control to obtain the final MSMEFC. According to the theoretical analyzes, the sliding mode after the MSMEFC will approximate to the ideal sliding mode, resulting in enhancing the control performance. Moreover, an adaptive non-singular terminal sliding mode is employed to compare with the performance of MSMEFC. Several simulations are performed to verify the effectiveness of proposed MSMEFC in the presence of serious perturbations, even in some fault-tolerant scenarios.     

Regional gravity field model in Pakistan area from the combination of CHAMP,GRACE and ground data using least squares collocation: A case study

This study describes a methodology of recovery of the Earth’s gravity field from CHAMP and GRACE satellites data in Pakistan using least squares collocation (LSC) based downward continuation technique. The CHAMP height anomalies and GRACE gravity disturbances derived from the observed satellite data have been used in combination solution using LSC with observed gravity values at the Earth surface. The combined covariance functions of height anomalies and/or gravity disturbances at satellite altitudes and observed gravity anomalies at Earth surface have been used as the basis for combination and downward continuation solution. The variance of predicted gravity anomalies from GRACE gravity disturbances is relatively lower than the corresponding results of gravity anomalies from CHAMP height anomalies. This fact may be attributed partly to the amplification of noise and partly to the unstable inverse transformation process of height anomalies to gravity anomalies. The impact of data error variance has been studied in the context of smoothing and noise reduction in the final solution of downward continuation using least squares collocation. The raising of data error suppresses the noise and as a result a smooth final solution is obtained. The prediction results appear to be dependent on the quality of data and goodness of combined covariance function, which are fairly comparable for the CHAMP and GRACE data. The recovered gravity field from satellite data appears to contribute mainly to medium and long wavelength parts of total gravity field spectrum. Due to flexibility of data handling in least squares collocation, this procedure is applicable to any observable of gravity field being at different altitudes and with different data spacing.     

飞行控制系统鲁棒性分析

简要叙述了特性结构配置及奇异摄动法，介绍了用系统回差矩阵奇异值计算各回路幅值裕量、相位裕量的稳定变化范围，最后以某飞机纵向小扰动运动为例，设计直接力控制律，分析了两种设计方法所设计的控制系统鲁棒性，展示了上述方法的应用。     

交互作用的双自适应模型估计器

 通过对目标的不确定机动分析和对不确定机动的模式分类(非机动、临界机动、弱机动、强机动),建立了一种新的目标状态自适应估计器——交互作用的双自适应模型估计器。它通过具有机动识别特性的二阶自适应模型和具有机动水平特性的三阶自适应模型,以及它们之间交互作用自适应组合方式的结合,达到了跟踪估计目标各种运动的“全面”自适应能力。应用新估计器对目标的5种基本运动进行了Monto-carlo仿真。仿真表明,它具有所期望的良好性能。     

总体均值估计量最小方差的改进

在简单随机抽样中,样本均值是总体均值的无偏估计.其他复杂的抽样方法常以简单随机抽样为基础,对于相同的样本容量条件下不同的抽样方法来说,总体均值估计量的方差就成为衡量各种抽样方法的有效程度的重要标志.对文[1]中给出的求有限总体均值估计量最小方差的几种方法进行了讨论,并对其求解方法进行了改进.