无人机舵面负载模拟系统的小脑模型控制

为解决无人机舵面负载模拟系统中非线性和多余力矩扰动问题,利用小脑模型神经网络非线性逼近能力强、结构简单、适于实时控制等特点,采用小脑模型和传统PD(Proportional-Derivative)控制结合的复合控制策略,由小脑模型实现前馈控制,PD控制实现反馈控制,以保证在系统运行各阶段的控制精度.分析讨论了复合控制的不稳定性问题,研究了基于可信度分配和学习率自适应调整的改进型小脑模型的应用情况,提出一种适用于单输入单输出系统的简化小脑模型复合控制设计方法.仿真结果表明该方法有效地解决了小脑模型和PD复合控制的不稳定问题,改善了系统动态加载性能,并具有很好的抗干扰性能.     

Upper limit of the total magnetic flux in an active region according to the photometric-magnetic dynamical model

The photometric-magnetic dynamical model handles the evolution of an individual sunspot as an autonomous nonlinear, though integrable, dynamical system. One of its consequences is the prediction of an upper limit of the sunspot areas. This upper limit is analytically expressed by the model parameters, while its calculated value is verified by the observational data. In addition, an upper limit for the magnetic strength inside the sunspot is also predicted, and then, we obtain the following significant result: The upper limit of the total magnetic flux in an active region is found to be of about 7.23 × 10²³ Mx, namely, phenomenologically equal to the magnetic flux concentrated in the totality of the granules of the quiet Sun, having a typical maximum magnetic strength of about 12G. Therefore, the magnetic flux concentrated in an active region cannot exceed the magnetic flux concentrated in the photosphere as a whole.     

Comparison of ionospheric F2 peak parameters foF2 and hmF2 with IRI2001 at Hainan

Monthly median values of foF2, hmF2 and M(3000)F2 parameters, with quarter-hourly time interval resolution for the diurnal variation, obtained with DPS4 digisonde at Hainan (19.5°N, 109.1°E; Geomagnetic coordinates: 178.95°E, 8.1°N) are used to investigate the low-latitude ionospheric variations and comparisons with the International Reference Ionosphere (IRI) model predictions. The data used for the present study covers the period from February 2002 to April 2007, which is characterized by a wide range of solar activity, ranging from high solar activity (2002) to low solar activity (2007). The results show that (1) Generally, IRI predictions follow well the diurnal and seasonal variation patterns of the experimental values of foF2, especially in the summer of 2002. However, there are systematic deviation between experimental values and IRI predictions with either CCIR or URSI coefficients. Generally IRI model greatly underestimate the values of foF2 from about noon to sunrise of next day, especially in the afternoon, and slightly overestimate them from sunrise to about noon. It seems that there are bigger deviations between IRI Model predictions and the experimental observations for the moderate solar activity. (2) Generally the IRI-predicted hmF2 values using CCIR M(3000)F2 option shows a poor agreement with the experimental results, but there is a relatively good agreement in summer at low solar activity. The deviation between the IRI-predicted hmF2 using CCIR M(3000)F2 and observed hmF2 is bigger from noon to sunset and around sunrise especially at high solar activity. The occurrence time of hmF2 peak (about 1200 LT) of the IRI model predictions is earlier than that of observations (around 1500 LT). The agreement between the IRI hmF2 obtained with the measured M(3000)F2 and the observed hmF2 is very good except that IRI overestimates slightly hmF2 in the daytime in summer at high solar activity and underestimates it in the nighttime with lower values near sunrise at low solar activity.     

Ionospheric electron density over Resolute Bay according to E-CHAIM model and RISR radar measurements

In this study, predictions of the E-CHAIM ionospheric model are compared with measurements by the incoherent scatter radars RISR at Resolute Bay, Canada, in the northern polar cap. Reasonable coverage was available for all seasons except winter for which no conclusions were drawn. It is shown that ratios of the model-to measured electron densities are close to unity in the central part of the F layer, around its peak. This is particularly evident for summer daytime. Distributions of the ratios are wider for other seasons indicating larger number of cases when the model underestimates or overestimates. E-CHAIM underestimates the electron density at ionospheric topside and bottomside by ～ 10–20 %. At the bottomside, the underestimations are strongest in summer and equinoctial nighttime. At the topside, the underestimations are strongest in autumn nighttime. Model overestimations are noticeable in the middle part of the F layer during dawn hours in autumn. Overall, the model tends to not predict highest-observed peak electron densities and the largest-observed heights of the peak.     

基于六自由度模型的弹载计算机闭环仿真系统研究

提出了基于导弹六自由度模型,将弹载计算机置于导弹闭环仿真回路,从而构成对弹载计算机进行考核的半实物仿真方法。通过建立导弹六自由度模型,在分析弹载计算机信号接口和软件特点的基础上,对弹载计算机闭环仿真系统的硬件组成和工作原理进行了论述。通过采用高性能的仿真计算机、实时积分算法、智能化接口设备和基于PCI总线的数据通讯方式几个方面,保证了半实物仿真的实时性。     

基于云模型的装备维修性评估方法研究

针对装备维修性评估问题,构建了装备维修性评估指标体系,利用云模型的不确定性推理算法实现了定性语言的定量化转换,利用云图和云滴分布的定性描述表示维修性综合评估结果,使评估结果更具有直观性和说服力,研究成果为装备维修性评估提供了切实有效的评估方法.     

卫星线阵立体影像的倾斜仿射变换核线模型

核线约束是构建摄影测量立体模型的重要条件。由于卫星线阵影像的多中心投影特性,难以建立其严格的核线模型。文章从上下视差最小的同名核线特征出发,在仿射变换模型基础上引入核线倾角变化参数,提出一种新的倾斜仿射变换核线模型。通过“无误差”的虚拟同名点仿真试验表明,文章提出的模型受影像范围及地表高差影响较小,在影像区块6 000像元×6 000像元、地表高差1 000m情况下,对于不同形式卫星立体影像的模型误差均小于1个像元。进一步使用实际匹配同名点平差,实验表明：对于SPOT-5、“资源三号”和“高分七号”等卫星影像,文章模型误差相对于匹配观测误差可忽略,实际核线精度在整景影像范围内优于0.8像元,所生成核线影像能够满足后续密集匹配要求。新模型的精确性和普适性相比现有同类模型显著提升,可实际应用于卫星摄影测量处理。     

复杂系统的可靠性分析方法研究

本文对未来的运载器的复杂控制系统的可靠性建模、分配和预计的一般方法和程序及综合分析方法进行了讨论和研究。并简述了复杂系统的计算机辅助可靠性分析。     

钝体燃烧器后能量逆转和紊流参数的数学模拟

本文用非定常数值法研究了钝体燃烧器后的紊流参数分布和能量逆转,并对Boussinesq的雷诺应力模式和双方程k-ε紊流模型提出了改进方案。这样不仅计算出了能量逆转区,而且紊流参数分布也与实验相符。     

航天飞机简化模型流场测量

叙述航天飞机简化模型流场测量与观察,进行了旋涡场测量,机身压力分布测量和组合体的油流观察。试验Ｍ数为０．４,０．６,０．８,１．５,攻角为０°,６°,８°,１０°,１２°,１５°,１７°和２０°。分析三种方法所得结果,符合得很好