Study of highly perturbed spacecraft formation dynamics via approximation

This paper explores methods for approximating and analyzing the dynamics of highly perturbed spacecraft formations with an emphasis on computationally efficient approaches. This facilitates on-board computation or rapid preliminary mission design analysis. Perturbed formation dynamics are often approximated as linear time-varying (LTV) systems, for which Floquet theory can be used to analyze the degree of system instability. Furthermore, the angular momentum of the relative orbital state can be computed with the approximate dynamics to provide additional insight. A general methodology is developed first and then applied to the problem of unstable formation dynamics in asteroid orbits. Here the dominant perturbative effects due to low-order gravitational harmonics and solar radiation pressure are modeled. Numerical simulations validate the approach and illustrate the approximation accuracy achieved.     

Fully distributed time-varying formation tracking control for multiple quadrotor vehicles via finite-time convergent extended state observer

This paper investigates a time-varying anti-disturbance formation problem for a group of quadrotor aircrafts with time-varying uncertainties and a directed interaction topology. A novel Finite-Time Convergent Extended State Observer (FTCESO) based fully-distributed formation control scheme is proposed to enhance the disturbance rejection and the formation tracking performances for networked quadrotors. By adopting the hierarchical control strategy, the multi-quadrotor system is separated into two subsystems: the outer-loop cooperative subsystem and the inner-loop attitude subsystem. In the outer-loop subsystem, with the estimation of disturbing forces and uncertain dynamics from FTCESOs, an adaptive consensus theory based cooperative controller is exploited to ensure the multiple quadrotors form and maintain a time-varying pattern relying only on the positions of the neighboring aircrafts. In the inner-loop subsystem, the desired attitude generated by the cooperative control law is stably tracked under a FTCESO-based attitude controller in a finite time. Based on a detailed algorithm to specify the cooperative control protocol, the feasibility condition to achieve the time-varying anti-disturbance formation tracking is derived and the rigorous analysis of the whole closed-loop multi-quadrotor system is given. Some numerical examples are conducted to intuitively demonstrate the effectiveness and the improvements of the proposed control framework.     

A survey of safety separation management and collision avoidance approaches of civil UAS operating in integration national airspace system

Recent years have witnessed a booming of the industry of civil Unmanned Aircraft System (UAS). As an emerging industry, the UAS industry has been attracting great attention from governments of all countries and the aviation industry. UAS are highly digitalized, informationized, and intelligent; therefore, their integration into the national airspace system has become an important trend in the development of civil aviation. However, the complexity of UAS operation poses great challenges to the traditional aviation regulatory system and technical means. How to prevent collisions between UASs and between UAS and manned aircraft to achieve safe and efficient operation in the integrated operating airspace has become a common challenge for industry and academia around the world. In recent years, the international community has carried out a great amount of work and experiments in the air traffic management of UAS and some of the key technologies. This paper attempts to make a review of the UAS separation management and key technologies in collision avoidance in the integrated airspace, mainly focusing on the current situation of UAS Traffic Management (UTM), safety separation standards, detection system, collision risk prediction, collision avoidance, safety risk assessment, etc., as well as an analysis of the bottlenecks that the current researches encountered and their development trends, so as to provide some insights and references for further research in this regard. Finally, this paper makes a further summary of some of the research highlights and challenges.     

An innovative approach for integrated airline network and aircraft family optimization

The determination of optimal aerial transport networks and their associated flight frequencies is crucial for the strategic planning of airlines, as well as for carrying out market research, to establish target markets, and for aircraft and crew rostering. In addition, optimum airplane types for the selected networks are crucial to improve revenue and to provide reduced operating costs. The present study proposes an innovative approach to determine the optimal aerial transport network simultaneously with the determination of the optimum fleet for that network, composed of three types of airplanes (network and vehicle integrated design). The network profit is maximized. The passenger’s demands between the airports are determined via a gravitational model. An embedded linear programming solution is responsible for obtaining potential optimal network configurations. The optimum fleet combination is determined from a database of candidate aircraft designs via genetic algorithm. A truly realistic airplane representation is made possible thanks to accurate surrogate models for engine and aerodynamics is adopted. An accurate engine deck encompassing a compression map and an innovative engine weight calculation besides an aerodynamical artificial neural network module enable a high degree of accuracy for the mission analysis. The proposed methodology is applied to obtain the optimum network comprised of twenty main Brazilian airports and corresponding fleet.     

求解含多个右端向量非对称线性方程组的自适应块拟最小残量IOM(q)算法

许多实际应用问题需要求解含多个右端向量的大型非对称线性方程组 ,通常是把原来方程组分成单独几个含一个右端向量的方程组 ,再用某种迭代法分别单个求解 ,而更加经济有效的方法是应用能同时产生几个迭代向量的块迭代法来直接求解。本文在 IOM(q)算法的基础上 ,提出一种求解此类方程组的块拟最小残量 IOM(q)算法 ,讨论了如何收缩掉已收敛的部分方程组以及如何从产生的块 Krylov序列中删除线性相关或几乎线性相关向量的自适应技术。数值试验表明 ,此新的自适应块算法比块 GMRES算法及其他相关算法具有更好的收敛行为、更少的计算量和 CPU计算时间 ,是求解此类方程组的一种更加经济有效的算法。     

区域极点及方差约束下的航天器拦截控制：静态输出反馈情形

本文提出并讨论了具有选通窗约束的航天器拦截控制问题，指出航天器拦截控制的稳暂态性能指标可表现为系统稳态状态方差及闭环区域极点的形式。然后，基于配置控制的思想，本文完整地给出了期望静态反馈控制器的存在条件及其解析表达式，并举例说明所提设计方法的直接性与有效性     

多重直扩信号的快速捕获

多重直扩信号的快速捕获得卫星定位及通信系统研制过程中遇到的一个主要课题，它的实现，不仅可以提高系统的多址能力，而且也是系统实现的必备条件，本文阐明了多重直扩信号的来源以及可被分离的理论依据，给出了多重直扩信号快速捕获的硬件实现方案及部分实验结果，得出了一些重要结论。     

GDBMS中图形数据的表示与存贮

GDBMS是作者设计并实现的一个实验性的工程图形数据库管理系统。它基于扩充关系数据模型,成功地完成了对工程图形数据的描述。 本文从图形的数据库表示出发,对几何实体的建模方法进行了分析,介绍了GDBMS中的图形数据模型及其实现方法。该数据模型吸取图元枚举法(PI方法),结构实体几何表示法(CSG法)和边界表示法(BR方法)的优点,在进行交互式图形编辑以及图形显示时,采用CSG结构,在数据库的存贮和处理时,采用扩充的BR方法。     

线性多变量系统闭环特征结构的最优配置

本文利用特征结构配置法所揭示的线性多变量反馈控制系统闭环特征值和特征向量的配置自由度,求解具有二次型性能指标的控制系统设计问题,使得闭环系统在具有任意给定的希望特征值集合条件下,性能指标达到极小。文中建立了最优二次型性能指标与闭环特征结构的关系,提出了逐个优化特征向量的算法,这一算法概念直观并具有较高的运算效率,可以推广到一般的特征结构优化问题。     

导弹防御系统的弹道导弹突防

根据美国国家导弹防御系统(NMD)的防御特点，提出了弹道导弹突防的以核攻核、近距离攻击和攻击天基信息链，以及饱和式多波次攻击、电磁脉冲弹头、机动发射平台、多弹头和单弹头突防等不同的战略战术，并分析了采用的不同弹头、释放有源或无源干扰物、隐身和反探测、助推段机动，以及旋转导弹和弹头等技术。