一种基于混沌神经网络的拟人智能控制方法

提出一种基于混沌神经网络(CNN)的拟人智能控制方法.首先利用拟人智能控制理论得到定性控制律(线性或非线性),然后利用CNN实现控制律的定量化.Hopfield神经网络具有快速的优化能力,但容易陷入局部极小,将遍历性的渐变混沌噪声引入其中,形成具有快速全局优化能力的CNN.对二级倒立摆控制的仿真和实验结果均表明该方法有效.      

基于应用识别的P2P蠕虫检测

对等网中基于漏洞传播的P2P蠕虫是严重的安全威胁.根据P2P蠕虫的传播特点,提出了一种P2P蠕虫检测方法PWD (P2P Worm Detection).PWD主要由基于应用识别技术的预处理和基于未知蠕虫检测技术的P2P蠕虫检测2部分组成,改进了干扰流量的识别和过滤规则,提出了P2P蠕虫检测规则,并引进博弈论的研究方法讨论了检测周期的选取问题.仿真结果和局域网环境下的实验结果都表明,PWD是检测P2P蠕虫和遏制其传播的有效方法.      

基于遗传算法的故障诊断规则提取方法的研究

针对粗糙集应用于故障诊断过程中存在的决策表属性连续值离散化和属性约简之间分离的问题,根据粗糙集的约简思想,本文研究了一种新的基于遗传算法的规则自动提取方法,可以在知识获取过程中同时实现属性连续值离散和属性约简。将该方法用于卫星电源系统故障诊断,可以从故障决策表中直接提取规则,得到超过90%的故障诊断准确率,进一步验证了这种方法的可行性和有效性。     

Identification of reduced-order model for an aeroelastic system from flutter test data

Recently, flutter active control using linear parameter varying (LPV) framework has attracted a lot of attention. LPV control synthesis usually generates controllers that are at least of the same order as the aeroelastic models. Therefore, the reduced-order model is required by syn-thesis for avoidance of large computation cost and high-order controller. This paper proposes a new procedure for generation of accurate reduced-order linear time-invariant (LTI) models by using sys-tem identification from flutter testing data. The proposed approach is in two steps. The well-known poly-reference least squares complex frequency (p-LSCF) algorithm is firstly employed for modal parameter identification from frequency response measurement. After parameter identification, the dominant physical modes are determined by clear stabilization diagrams and clustering tech-nique. In the second step, with prior knowledge of physical poles, the improved frequency-domain maximum likelihood (ML) estimator is presented for building accurate reduced-order model. Before ML estimation, an improved subspace identification considering the poles constraint is also proposed for initializing the iterative procedure. Finally, the performance of the proposed procedure is validated by real flight flutter test data.     

GNSS global real-time augmentation positioning: Real-time precise satellite clock estimation,prototype system construction and performance analysis

Lots of ambiguities in un-differenced (UD) model lead to lower calculation efficiency, which isn’t appropriate for the high-frequency real-time GNSS clock estimation, like 1 Hz. Mixed differenced model fusing UD pseudo-range and epoch-differenced (ED) phase observations has been introduced into real-time clock estimation. In this contribution, we extend the mixed differenced model for realizing multi-GNSS real-time clock high-frequency updating and a rigorous comparison and analysis on same conditions are performed to achieve the best real-time clock estimation performance taking the efficiency, accuracy, consistency and reliability into consideration. Based on the multi-GNSS real-time data streams provided by multi-GNSS Experiment (MGEX) and Wuhan University, GPS + BeiDou + Galileo global real-time augmentation positioning prototype system is designed and constructed, including real-time precise orbit determination, real-time precise clock estimation, real-time Precise Point Positioning (RT-PPP) and real-time Standard Point Positioning (RT-SPP). The statistical analysis of the 6 h-predicted real-time orbits shows that the root mean square (RMS) in radial direction is about 1–5 cm for GPS, Beidou MEO and Galileo satellites and about 10 cm for Beidou GEO and IGSO satellites. Using the mixed differenced estimation model, the prototype system can realize high-efficient real-time satellite absolute clock estimation with no constant clock-bias and can be used for high-frequency augmentation message updating (such as 1 Hz). The real-time augmentation message signal-in-space ranging error (SISRE), a comprehensive accuracy of orbit and clock and effecting the users’ actual positioning performance, is introduced to evaluate and analyze the performance of GPS + BeiDou + Galileo global real-time augmentation positioning system. The statistical analysis of real-time augmentation message SISRE is about 4–7 cm for GPS, whlile 10 cm for Beidou IGSO/MEO, Galileo and about 30 cm for BeiDou GEO satellites. The real-time positioning results prove that the GPS + BeiDou + Galileo RT-PPP comparing to GPS-only can effectively accelerate convergence time by about 60%, improve the positioning accuracy by about 30% and obtain averaged RMS 4 cm in horizontal and 6 cm in vertical; additionally RT-SPP accuracy in the prototype system can realize positioning accuracy with about averaged RMS 1 m in horizontal and 1.5–2 m in vertical, which are improved by 60% and 70% to SPP based on broadcast ephemeris, respectively.     

结合TEC的泵驱两相温控系统的空间应用

为满足天舟一号货运飞船(T Z1)蒸发冷凝科学实验的控温需求，采用半导体制冷片(TEC)和泵驱两相回路结合的控温系统实现了冷凝台-5~40 ℃(±0.2 ℃)的控温要求。对TEC和平行流换热器进行了研究，结果表明该系统能够满足环境温度等于30 ℃工况下的制冷和散热要求。测试结果表明，平行流换热器在地面和在轨的换热相当，说明重力的影响几乎可以忽略。     

典型航天产品工艺定型流程探索

对典型航天产品工艺定型过程进行了总结,形成了典型产品的定型流程,结合定型流程,对流程中的各环节进行了重点说明,并对定型过程中的经验进行了总结。     

22太阳活动周的δ黑子群与X级X射线耀斑

用２２太阳活动周的２２１个δ黑子群（从１９８６年至１９９１年），研究δ黑子群的特性，δ黑子群与Ｘ级Ｘ射线耀斑（ＸＸＦ）之间的关系。１．证实了Ｔａｎｇ，Ｚｉｒｉｎ和Ｌｉｇｇｅｔｔ的发现，所有δ黑子群源于二个偶极黑子区，由其中之一的前导黑子与另一的后随黑子相互渗透而构成；在δ黑子的极性分界线上，磁场是强烈地剪切的，同时还找到了许多δ黑子解体的事例，这点与Ｚｉｒｉｎ（１９８７）的结论相悖，δ黑子的解体是     

玻璃熔炼炉自动加料装置中的称料控制器

玻璃熔炼炉自动加料装置中的称料控制器是控制加料机下料时粉料和熟料比例的装置。称料控制器由两个料斗(粉料斗和熟料斗)和每只斗上的三个力传感器以及信号调理器、模数转换器、智能控制器、开关量输入输出、继电器控制器、面板控制器、打印机、电源等部件组成。它受控制盘上的可编程控制器控制,同系统协调工作。在系统中采取了一系列抗干扰措施,如抑制电源系统干扰,抑制信号传输系统干扰,抑制地线系统干扰等,采取这些措施后,使称料控制器在强干扰场内能可靠地工作。系统精度达0.03%。     

烧蚀材料的多光谱真温测量法

应用棱镜分光式多波长光电高温计对氧乙炔焰烧蚀材料的真实温度进行了测量。精心地选择波段及处理方法使烧蚀材料剥离、水蒸汽及烟雾影响减至最小，采用一点标定技术解决了高温区标定问题。