装药几何参数不确定性优化设计

1引言固体火箭发动机装药设计,一般要求在满足发动机内弹道性能和相关约束条件下,选择药型并确定其几何参数,同时综合考虑燃烧室壳体内部绝热层、衬层和人工脱粘层的设计要求。装药设计作为发动机设计的核心,其设计质量很大程度决定了发动机性能优劣。航天飞机固体助推火箭发动     

组合式高阻箱及高压表检定装置

介绍一种既是高压分压箱 ,又是高值电阻器的装置。它与通用型的 QJ36电桥、检流计、高压电源一起组成了一台高阻箱、高压表检定装置 ,适合于省、局级计量机构及大型企业计量机构使用。     

动态测量不确定度A类评定

综述动态测量误差与不确定度评定的基本特点、一般评定指标与评定方法。着重概述对动态测量数据作统计分析的不确定度Ａ类评定方法。列举各种常用动态测量数据处理方案及其基本假定条件和测量误差分离原理及测量不确定度Ａ类评定的基本算法。     

μ方法在挠性航天器鲁棒控制设计中的应用

本文通过对带有挠性附件的一类航天器的鲁棒控制器之设计说明μ方法在不确定挠性航天器姿态控制中的应用。该方法不仅能有效地处理外部干扰以及未建模动态，而且还能直接讨论模型参数的变化，具有较大的应用潜力。但μ最优控制器倾向于激发系统未建模动态，在实际应用中必须特别注意     

飞行器姿态的一种鲁棒自适应模糊解耦控制

飞行器姿态系统具有非线性、强耦合、多输入多输出(MIMO)的特点。本文针对飞行器姿态模型的非线性和不确定性，提出鲁棒自适应模糊解耦控制方法，对飞行姿态进行机动控制。首先，设计基于精确反馈线性化的模糊解耦控制环节。针对模糊逼近所带来的误差以及外部干扰项，采用H∞鲁棒补偿控制方法，使误差干扰项对系统的影响最小。为充分利用有限的模糊规则，采用非线性可调参数模糊模型。模糊参数的自适应调节律由李雅普诺夫综合法得到。数学仿真表明，该控制方案对于空间飞行器姿态系统中的非线性和参数不确定性具有较强的适应能力。     

数字示波器测量幅度的误差分析

分析了用数字示波器测量脉冲幅度带来的测量误差,给出了计算相对误差的公式,对测量中产生的超差现象和异常现象的原因进行了分析.     

Energy-optimal reconfiguration of satellite formation flying in the presence of uncertainties

In this study, a two-step control methodology is developed for energy-optimal reconfiguration of satellites in formation in the presence of uncertainties or external disturbances. First, based on a linear deterministic system model, an optimal control law is analytically determined such that a satellite maneuvers from an initial state to a final state relative to another satellite. The structure of this optimal solution is predetermined and simply given by a linear combination of the fundamental matrix solutions associated with the original equations of relative motion. Only the coefficients are to be determined to satisfy given initial and final conditions. In the second step, an uncertain nonlinear formation system is considered and a robust adaptive controller is designed to compensate for the effects of uncertainties or disturbances that the formation system may encounter. Although the control strategy is inspired by sliding mode control, it produces smooth control signals, thereby avoiding chattering. Also, an adaptation law is added such that the uncertainty or disturbance effects are effectively and quickly eliminated without a priori information about them. The combination of these two controllers guarantees that the satellite accurately tracks the optimal path in the unknown environment. Numerical simulations demonstrate the effectiveness and accuracy of the proposed two-step control methodology, in which a satellite formation is optimally reconfigured under unknown environmental disturbances.     

CBERS-O2热红外波段绝对辐射定标及其不确定性分析

文章介绍了2004年CBERS-O2星热红外波段绝对定标工作，结合野外试验情况和数据处理过程深入进行了不确定性因素分析（包括误差分析），并从亮温反演的角度分析定标精度，进而针对如何提高在轨卫星热红外波段绝对辐射定标的精度，进行了探讨。     

Evaluation of uncertainty in gravity wave potential energy calculations through GPS radio occultation measurements

The application of the Global Positioning System (GPS) radio occultation (RO) method to the atmosphere enables the determination of height profiles of temperature, among other variables. From these measurements, gravity wave activity is usually quantified by calculating the potential energy through the integration of the ratio of perturbation and background temperatures between two given altitudes in each profile. The uncertainty in the estimation of wave activity depends on the systematic biases and random errors of the measured temperature, but also on additional factors like the selected vertical integration layer and the separation method between background and perturbation temperatures. In this study, the contributions of different parameters and variables to the uncertainty in the calculation of gravity wave potential energy in the lower stratosphere are investigated and quantified. In particular, a Monte Carlo method is used to evaluate the uncertainty that results from different GPS RO temperature error distributions. In addition, our analysis shows that RO data above 30 km height becomes dubious for gravity waves potential energy calculations.     

On uncertainties in carbon flux modelling and remotely sensed data assimilation: The Brasschaat pixel case

Uncertainty on carbon fluxes is determined by the uncertainties of ecosystem model structure, data and model parameter uncertainties and the temporal and spatial inaccuracy of the input data retrieval. The objective of this paper is to understand the error propagation and uncertainty of evaporative fraction (EF), soil moisture content (SMC) and water limited net ecosystem productivity (NEP). In this respect, C-Fix and spaceborne remote sensing are used for the ‘Brasschaat’ pixel. A simple model based on error theory and a Monte-Carlo approach are used. Different error scenarios are implemented to assess input uncertainty on EF, SMC and NEP as estimated with C-Fix.