GPS信号捕获与跟踪策略确定及实现

为了检测GPS(Global Positioning System)信号,设计了码环及载波环捕获与跟踪数字系统.序贯搜索与窄间隔超前-滞后型数字延迟锁相环的采用,保证了码相位的可靠捕获与精确跟踪,四相鉴频器、叉积自动频率跟踪算法及科思塔环载波相位跟踪算法的结合,既保证了载波频率(多普勒频移)的捕获速度,又使环路能有效地跟踪频率/相位变化,获得较好的动态性能与噪声性能.控制算法及参数确定的软化实现使系统具有较好的灵活性.基于扩频相关器与数字信号处理器的数字系统验证了上述方案的正确性及有效性.      

800℃以上服役涡轮盘用难变形镍基高温合金研究进展

大推重比航空发动机涡轮盘需在更高温度下服役,为满足更高温度服役航空发动机涡轮盘材料的需求,在新合金的发展过程中合金化程度和γ′相含量逐渐提高.其中GH4151、GH4175和GH4975合金是800℃以上服役变形高温合金的典型代表.对难变形高温合金国内外的发展趋势、3种典型合金的特征和发展过程进行了概述,并对难变形高温...     

高温泊松比测试方法与对比

对高温环境下材料泊松比测试的常规方法以及新发展的基于高温云纹干涉的测量技术进行了阐述和比较,新方法具有对各向同性或各向异性材料的广泛适用性和非接触、高灵敏度、大范围、全场测量等优越性,在先进材料研制中有应用价值.     

“风云一号”气象卫星

本文叙述了中国第一颗气象卫星“风云一号”。这是一颗试验气象卫星,重750公斤,其主体为1.40米×1.40米×1.20米的六面体,连同太阳电池阵共展宽8.60米,高1.76米。运行在太阳同步轨道,高度900公里,倾角99°,每天绕地球运行14圈。地面接收到高质量的图象资料和轨道空间的辐射环境资料。     

面向飞机试制现场跟产信息的数字化管理

对民用飞机现场跟产信息管理控制的现状和存在问题进行分析,提出民用飞机试制现场跟产信息的数字化管理方案,并从技术与管理角度论述关键技术和实现途径,为大飞机及后续型号的研制提供参考。     

随机激励下铝蜂窝夹层板非线性特性研究

为研究铝蜂窝夹层板的非线性动力学特性,对铝蜂窝夹层板做不同激振量级下的随机振动试验,并作出非线性幅频图。系统的非线性频响函数的共振放大倍数随着激振量级的增加而减小,其特征与应用等效线性化及FPK法计算的带有非线性阻尼的系统理论得出的结果相似,拟合结果也表明试件的等效阻尼系数随外激励变化而变化,故得出文章中的试件带有非线性阻尼特性。铝蜂窝夹层板具有非线性阻尼特性这一结果可对航天器建模提供理论参考依据。     

再入飞行器俯仰动态失稳的分叉理论与计算分析

采用非线性自治动力系统分叉理论,耦合求解非定常Navier-Stokes方程和俯仰运动方程,研究了再入飞行器单自由度俯仰运动失稳问题。研究表明,航天飞行器再入时,如果仅有一个配平攻角,随马赫数降低,其配平攻角处的俯仰动态失稳一般对应于Hopf分叉,并存在亚临界Hopf分叉和超临界Hopf分叉两种失稳形态。作为验证实例,数值模拟了飞船返回舱外形和平头有翼双锥外形的俯仰动态失稳现象。结果表明,返回舱再入时,随马赫数降低将发生超临界Hopf分叉,俯仰运动由点吸引子演化为周期吸引子,临界Hopf分叉点发生在马赫数2.2处;而平头再入体随马赫数降低,发生亚临界Hopf分叉,俯仰运动则是由周期吸引子演化为点吸引子,马赫数6.8为临界Hopf分叉点。     

A novel intelligent adaptive control of laser-based ground thermal test

Laser heating technology is a type of potential and attractive space heat flux simulation technology, which is characterized by high heating rate, controlled spatial intensity distribution and rapid response. However, the controlled plant is nonlinear, time-varying and uncertainty when implementing the laser-based heat flux simulation. In this paper, a novel intelligent adaptive controller based on proportion–integration–differentiation(PID) type fuzzy logic is proposed to improve the performance of laser-based ground thermal test. The temperature range of thermal cycles is more than 200 K in many instances. In order to improve the adaptability of controller,output scaling factors are real time adjusted while the thermal test is underway. The initial values of scaling factors are optimized using a stochastic hybrid particle swarm optimization(H-PSO)algorithm. A validating system has been established in the laboratory. The performance of the proposed controller is evaluated through extensive experiments under different operating conditions(reference and load disturbance). The results show that the proposed adaptive controller performs remarkably better compared to the conventional PID(PID) controller and the conventional PID type fuzzy(F-PID) controller considering performance indicators of overshoot, settling time and steady state error for laser-based ground thermal test. It is a reliable tool for effective temperature control of laser-based ground thermal test.