迭代动力缩聚法的收敛性分析

 利用Lyapunov矩阵方程和Riccati矩阵方程解的理论,对迭代动力缩聚法的收敛性进行了分析证明,并给出了迭代收敛的充分条件。揭示了动力缩聚法与经典的子空间迭代法的内在关系,阐明了各自的优缺点。迭代动力缩聚法实质上是子空间迭代法的变形,它需要人为选择主辅自由度,而子空间迭代法需要人为选定初始迭代向量。从理论上讲,只有主辅自由度选择满足收敛的充分条件要求,才能保证迭代结果收敛到理论上的精确解。给出了一个数值算例,对几种算法进行了对比,并验证了本文的论点。     

Development cost prediction of general aviation aircraft projects with parametric modeling

The study of the development cost of general aviation aircraft is limited by small samples with many cost-driven factors. This paper investigates a parametric modeling method for prediction of the development cost of general aviation aircraft. The proposed technique depends on some principal components, acquired by utilizing P value analysis and gray correlation analysis. According to these principal components, the corresponding linear regression and BP neural network models are established respectively. The feasibility and accuracy of the P value analysis are verified by comparing results of model fitting and prediction. A sensitivity analysis related to model precision and suitability is discussed in detail. Results obtained in this study show that the proposed method not only has a certain degree of versatility, but also provides a preliminary prediction of the development cost of general aviation aircraft.     

A regional model for the prediction of M(3000)F2 over East Asia

Research on empirical or physical models of ionospheric parameters is one of the important topics in the field of space weather and communication support services. To improve the accuracy of predicting the monthly median ionospheric propagating factor at 3000 km of the F2 layer (identified as M(3000)F2) for high frequency radio wave propagation, a model based on modified orthogonal temporal–spatial functions is proposed. The proposed model has three new characteristics: (1) The solar activity parameters of sunspot number and the 10.7-cm solar radio flux are together introduced into temporal reconstruction. (2) Both the geomagnetic dip and its modified value are chosen as features of the geographical spatial variation for spatial reconstruction. (3) A series of harmonic functions are used to represent the M(3000)F2, which reflects seasonal and solar cycle variations. The proposed model is established by combining nonlinear regression for three characteristics with harmonic analysis by using vertical sounding data over East Asia. Statistical results reveal that M(3000)F2 calculated by the proposed model is consistent with the trend of the monthly median observations. The proposed model is better than the International Reference Ionosphere (IRI) model by comparison between predictions and observations of six station, which illustrates that the proposed model outperforms the IRI model over East Asia. The proposed method can be further expanded for potentially providing more accurate predictions for other ionospheric parameters on the global scale.     

An analysis of the flexibility modeling of a net for space debris removal

Operational spacecraft are facing a risk of collision with space debris objects. The net capturing method has been proposed to mitigate this risk on spacecraft. The mass-spring model is usually applied for net modeling by discretizing a cable into one or several mass-spring-damper elements in simulation. The absolute nodal coordinates formulation (ANCF) has also been applied to model the net, and this model is able to describe the flexibility of a net using less elements. However, the influence on the net behavior in simulation by the flexibility modeling of a net is not well understood and barely discussed. In this paper, flexibility models of a net are established based on the mass-spring model and the ANCF model,respectively. The influence on the net behavior by the flexibility modeling is, for the first time, analyzed via simulations. Two case studies of capturing a ball and a cube shaped targets are performed. It is found that the flexibility modeling has little influence on the net dynamics in simulation. Finally, the characteristics and benefits of the ANCF model are described and analyzed. A drawback of the ANCF model was found to be its inferior computational performance.     

Dynamic modeling and multi-stage integrated control method of ultra-quiet spacecraft

Space telescope ultrahigh precision pointing control requires the spacecraft platform to provide an ultra-quiet working environment. Vibration isolator rejection control and the multi-stage integrated control method is believed to be one of the best methods to improve the space telescope attitude control performance. In this paper, the fine dynamics model of multi-stage spacecraft systems is presented and the multi-stage integrated controller design techniques are provided. Effectiveness of the multi-stage integrated control approach is demonstrated by both the numerical simulation and experiment results. An integrated design and demonstrated experimental environment is developed for high-fidelity control performance assessment. The verification experiments for the space telescope attitude control and vibration control are carried out. The results show that the pointing accuracy and stability of the line-of-sight (LOS) for space telescope are improved at least one order by the multi-stage integrated control method.     

Analysis of spatiotemporal trajectories for stops along taxi paths

Stops along taxi trajectories, such as picking up and dropping off passengers, are spatially clustered and related to certain attributes of places where stops are made. To detect the hidden knowledge regarding these places, this article examines the semantics of massive taxi stops in a large city. Each taxi trajectory is modeled as a series of sequential semantic stops labeled by street names. All the trajectories can be examined as a document corpus, from which the hidden themes of the stops are identified through Latent Dirichlet Allocation model. Conventional GIS tools are coupled with topic modeling toolkit to visualize and analyze potential information of stop topics for understanding intra-city dynamics. The effectiveness of this approach is illustrated by a case study using a large dataset of taxi trajectories including approximately 4,000 taxis in Wuhan, China.     

薄板光学反射面面形变形驱动器集成设计

针对某光学载荷薄板反射面面形调整需求,对一种新型精密微调驱动器开展了集成设计研究。分析了柔性太阳翼冷热交变对敏感载荷的影响,设计了一种基于巨磁致伸缩材料(GMM)的主动补偿驱动器,对驱动器关键部件进行了优化。建立了驱动器的动力学模型,并利用模糊自适应PID算法对其进行闭环控制。仿真结果表明:设计的驱动器能实现较大的行程、较高的定位精度,可用于面形变形补偿。     

基于Markov的察打无人机数据链时延建模与补偿研究

为了改善在数据链时延情况下察打无人机的性能,对造成时延的因素及影响进行了分析,在此基础上对数据链时延进行了合理的假设和简化。并对无人机整个控制回路的各个节点的响应方式,提出了一种时间-事件-事件-时间驱动方式,使得无人机数据链的时延序列具有Markov性,同时给出了状态转移矩阵的求取方法。为了改善无人机的响应特性,采用最优控制的方法对时延进行了补偿,并基于某无人机平台验证了补偿方法的有效性。仿真结果表明,该方法的引入使得无人机的动态响应特性有了显著提高。     

针对多机型多基地执管结构下的航材布局优化研究

从航材备件保障效能出发,综合考虑多种因素,建立了一个航材保障体系的配置-调配模型,科学量化地确定配属和流动的平衡点,从而定量评价航材保障系统的效率,并通过部件实测结果证明了这个模型的有效性和实用价值.