涡扇发动机传感器故障诊断的快速原型实时仿真

为快速高效地完成涡扇发动机传感器故障诊断算法的硬件在环仿真试验,构建了以NI CompactRIO为核心的传感器故障诊断系统的快速原型实时仿真平台.基于一簇卡尔曼滤波器,在LabVIEW编程环境中建立了传感器故障诊断系统.分别在涡扇发动机模型稳态和动态工作时完成了对单个传感器故障的检测、隔离和重构的硬件在环仿真试验并验证了算法精度.经过大量试验,结果表明:基于卡尔曼滤波器理论的诊断算法能在传感器故障情况下确保控制系统安全运行,诊断精度最高可达1.4%;同时表明,该快速原型实时仿真平台的设计是成功的.研究工作为发动机传感器故障诊断系统的半物理仿真试验奠定了基础.      

舱门信号控制系统设计

随着民用飞机的发展,舱门信号系统也变的越来越重要了。特别是经历了几次有关货舱门故障导致飞机坠毁之后,舱门系统的重要性越来越突出。因此FAA出台了AC25.114修正案,给出了舱门信号系统设计应注意的事项,保证飞机飞行的安全。参照最新的FAA适航条例为依据,给出了某型飞机舱门信号控制系统的功能描述、设计方案和控制流程,并对该系统的核心部分进行了分析。     

基于合作目标的三维空间贝叶斯传感器配准算法

当存在合作目标时,基于合作目标的传感器配准算法往往优于基于多站测量的传感器配准算法.传统的基于合作目标的传感器配准算法将系统误差看作是一个确定未知量,对未知量的估计采用了非贝叶斯的参数估计算法,如极大似然法、最小二乘法等.当传感器量测噪声相对于传感器系统误差不可忽略时,上述算法估计效果较差.在此背景下,提出了基于合作目标的贝叶斯传感器配准算法,通过将传感器系统误差建模成未知的随机过程,并通过卡尔曼滤波消除量测噪声对系统误差估计带来的影响,实验结果表明,方法具有较好的实用性.     

海洋浊度测量传感器校准方法及校准测量能力评估

为了对海洋浊度测量传感器的计量性能做出快速、准确、科学的评价,构建了海洋浊度测量传感器的校准系统。本文详细阐述了海洋浊度测量传感器的校准原理,最佳校准方法的确立,并以具体实例介绍了校准数据处理及测量不确定度的评定,最后评估了该项目的校准测量能力(CMC),选用单一的相对值表示CMC,为2%。     

力臂自动调节装置智能综合测试系统的设计

为了解决力臂自动调节装置型号多、测试方法繁杂、测试精度低的问题,研制了以工控机为核心的自动测试系统,从硬件设计、软件设计入手,分析了测试过程中的工作环境模拟仿真与自动加载、系统控制信号和数据的共享、大气参数的测量、力臂值随机快速精确测量及抗干扰设计等问题,对改善力臂自动调节装置的维护手段、提高测试设备的自动化程度、使检测设备向综合化和智能化方向发展,具有重要的推动作用。     

扫描器运动多参数测试技术研究

新型图像扫描器具有较高的响应频率，可以实现高速扫描。在研究扫描器运动参数分离的基础上，利用对称放置的半导体位置探测器建立了扫描器的多运动参数测试系统，提出了光电二维位置传感器的非线性修正和补充方法，实现了四路模拟信号的DMA传送，提高了测试的速度和精度，实现扫描器在高频运动时的多运动参数测试。     

非线性传感器静态特性评估的极限点法

基于对测量过程、测量误差的认识，提出了一种利用极限点法评估非线性传感器静态特性的一种新方法。给出了利用该方法评估非线性传感器的两种模型。并以一电涡流式非线性位移传感器的标定数据进行了计算、分析。     

STUDY ON ALGORITHM OF SENSOR MANAGEMENT BASED ON FUNCTIONS OF EFFICIENCY AND WASTE

The sensor management system is a subsys-tem of a multisensor data fusion system,and itspurpose is to satisfy requests of multitarget andscanned space by using the limited sensor resourcesin order to gain optimal measurement values of allspecified characteristics ( detection and captureprobability,emission power of sensor,trackingprecision or target losing probability and so on) .By the optimal principle listed above,sensor re-sources are distributed in science and reason.In aword,itis a key p…     

The Cassini Cosmic Dust Analyzer

The Cassini-Huygens Cosmic Dust Analyzer (CDA) is intended to provide direct observations of dust grains with masses between 10⁻¹⁹ and 10⁻⁹ kg in interplanetary space and in the jovian and saturnian systems, to investigate their physical, chemical and dynamical properties as functions of the distances to the Sun, to Jupiter and to Saturn and its satellites and rings, to study their interaction with the saturnian rings, satellites and magnetosphere. Chemical composition of interplanetary meteoroids will be compared with asteroidal and cometary dust, as well as with Saturn dust, ejecta from rings and satellites. Ring and satellites phenomena which might be effects of meteoroid impacts will be compared with the interplanetary dust environment. Electrical charges of particulate matter in the magnetosphere and its consequences will be studied, e.g. the effects of the ambient plasma and the magnetic field on the trajectories of dust particles as well as fragmentation of particles due to electrostatic disruption.The investigation will be performed with an instrument that measures the mass, composition, electric charge, speed, and flight direction of individual dust particles. It is a highly reliable and versatile instrument with a mass sensitivity 10⁶ times higher than that of the Pioneer 10 and 11 dust detectors which measured dust in the saturnian system. The Cosmic Dust Analyzer has significant inheritance from former space instrumentation developed for the VEGA, Giotto, Galileo, and Ulysses missions. It will reliably measure impacts from as low as 1 impact per month up to 10⁴ impacts per second. The instrument weighs 17 kg and consumes 12 W, the integrated time-of-flight mass spectrometer has a mass resolution of up to 50. The nominal data transmission rate is 524 bits/s and varies between 50 and 4192 bps.This revised version was published online in July 2005 with a corrected cover date.     

燃气涡轮发动机地面试验传感器数据确认概念与方法研究

本文介绍了燃气涡轮发动机传感器数据确认系统的研究与应用现状,详细阐述了基于发动机和试验系统物理模型的解析冗余检验相关多传感器信号有效性方法,以及基于信号序列统计与时频特征分析的单传感器通道信号有效性的确认方法,提出了传感器数据有效性确认系统的研究框架。