Deorbiter CubeSat mission design

This paper presents the mission design for a CubeSat-based active debris removal approach intended for transferring sizable debris objects from low-Earth orbit to a deorbit altitude of 100 km. The mission consists of a mothership spacecraft that carries and deploys several debris-removing nanosatellites, called Deorbiter CubeSats. Each Deorbiter is designed based on the utilization of an eight-unit CubeSat form factor and commercially-available components with significant flight heritage. The mothership spacecraft delivers Deorbiter CubeSats to the vicinity of a predetermined target debris, through performing a long-range rendezvous maneuver. Through a formation flying maneuver, the mothership then performs in-situ measurements of debris shape and orbital state. Upon release from the mothership, each Deorbiter CubeSat proceeds to performing a rendezvous and attachment maneuver with a debris object. Once attached to the debris, the CubeSat performs a detumbling maneuver, by which the residual angular momentum of the CubeSat-debris system is dumped using Deorbiter’s onboard reaction wheels. After stabilizing the attitude motion of the combined Deorbiter-debris system, the CubeSat proceeds to performing a deorbiting maneuver, i.e., reducing system’s altitude so much so that the bodies disintegrate and burn up due to atmospheric drag, typically at around 100 km above the Earth surface. The attitude and orbital maneuvers that are planned for the mission are described, both for the mothership and Deorbiter CubeSat. The performance of each spacecraft during their operations is investigated, using the actual performance specifications of the onboard components. The viability of the proposed debris removal approach is discussed in light of the results.     

航天器时态规划技术研究进展

结合航天器自主运行的迫切需求,阐述了航天器任务规划问题给智能规划技术带来的挑战,并重点分析了具有时间属性的规划方法研究必要性。给出航天器时态规划定义,分别总结了状态空间时态规划建模方法和基于时间线的时态规划建模方法,并给出时态规划知识模型关键元素定义。根据规划方法发展现状,归纳总结前向链、模型转换、规划空间规划和分层任务网络四种方法在时态规划技术方面的特点和研究进展,着重描述各种方法对规划中时间要素的处理。在对目前的航天器时态规划技术发展趋势总结分析基础上,给出了未来航天器时态规划技术的发展建议。     

Accurate approximation of in-ecliptic trajectories for E-sail with constant pitch angle

Propellantless continuous-thrust propulsion systems, such as electric solar wind sails, may be successfully used for new space missions, especially those requiring high-energy orbit transfers. When the mass-to-thrust ratio is sufficiently large, the spacecraft trajectory is characterized by long flight times with a number of revolutions around the Sun. The corresponding mission analysis, especially when addressed within an optimal context, requires a significant amount of simulation effort. Analytical trajectories are therefore useful aids in a preliminary phase of mission design, even though exact solution are very difficult to obtain. The aim of this paper is to present an accurate, analytical, approximation of the spacecraft trajectory generated by an electric solar wind sail with a constant pitch angle, using the latest mathematical model of the thrust vector. Assuming a heliocentric circular parking orbit and a two-dimensional scenario, the simulation results show that the proposed equations are able to accurately describe the actual spacecraft trajectory for a long time interval when the propulsive acceleration magnitude is sufficiently small.     

卫星能源约束检查模型改进及仿真

卫星能源约束检查模型对卫星任务规划有重要参考作用,可防止因能源不足而导致卫星故障或任务不能顺利完成。现有的能源约束检查模型存在部分问题:人为设定计算初始值,导致计算不准确;能源约束检查不通过时未给出符合能源约束的任务调整建议,导致任务不能快速调整;未对计算误差进行校正,导致误差积累。对此,提出了一种改进的能源约束检查模型,在原有模型中加入能源数据库对卫星运行的能源数据进行记录,从而准确获取初始值,并在模型中加入任务调整和遥测校正功能。该模型可实现能源约束计算自动管理及任务自动调整功能,缩短任务规划周期,提升紧急任务的执行效率。对改进的模型进行仿真,结果表明:模型预测结果与预期值相符,任务调整和能源校正功能实现良好,能实际应用到运控系统中进行规划任务能源约束检查和能源管理。     

Distributed intelligent self-organized mission planning of multi-UAV for dynamic targets cooperative search-attack

This article studies the cooperative search-attack mission problem with dynamic targets and threats, and presents a Distributed Intelligent Self-Organized Mission Planning (DISOMP) algorithm for multiple Unmanned Aerial Vehicles (multi-UAV). The DISOMP algorithm can be divided into four modules: a search module designed based on the distributed Ant Colony Optimization (ACO) algorithm, an attack module designed based on the Parallel Approach (PA) scheme, a threat avoidance module designed based on the Dubins Curve (DC) and a communication module designed for information exchange among the multi-UAV system and the dynamic environment. A series of simulations of multi-UAV searching and attacking the moving targets are carried out, in which the search-attack mission completeness, execution efficiency and system suitability of the DISOMP algorithm are analyzed. The simulation results exhibit that the DISOMP algorithm based on online distributed down-top strategy is characterized by good flexibility, scalability and adaptability, in the dynamic targets searching and attacking problem.     

基于禁忌搜索算法的机场场面联合优化模型

针对当今机场场面优化对象仅为某一独立环节的情况,梳理联合优化框架,利用已有的单一环节优化模型,建立了滑行路径规划与停机位分配联合优化模型,并设计了禁忌搜索算法流程,最终降低了航班进离场资源占用时间。将优化模型分别植入空域管理与评估系统（ ACES）的空侧容量评估系统中进行仿真分析,结果表明,联合优化模型能够在综合考虑机场运行实际的条件下大幅提升空侧容量,改善机场运行效率与资源配置情况。     

机场容量利用及流量分配优化策略

为了充分利用机场容量,减少航班延误,需要合理分配进离场流量。以机场容量作为约束,以进离场航班总延误成本最小作为目标,建立进离场流量分配优化模型。构建随延误时间呈超线性增长的延误成本计算公式,引入航班进离场延误成本权重系数作为不同进离场优先级的决策偏好信息。用动态规划法求解模型,并引入最优决策候选集合的概念,缩小计算过程中的搜索量,减少计算时间。算例结果分析表明,方法可以在机场容量约束下得出进离场流量分配的最优策略,使得航班总延误成本最小,并且快速计算可以满足实时决策支持的要求。     

基于协同多任务分配的飞机排班模型与算法

航空公司的航班运行一直存在安全与成本的矛盾:既要严格按规定完成飞机例行检修,优先保障运行安全,又要尽可能提高飞机日利用率,以降低运行成本.为此,研究基于协同多任务分配的飞机排班问题.分析例行检修约束,建立最优化飞机日利用率的数学模型,运用分枝定价算法进行求解.分枝定价算法引入检修节点和虚拟飞机节点的定义,将分配的航班飞...     

深空探测器模块化结构动力学研究

随着深空探测器技术的不断发展，深空探测器设计逐渐转向模块化和标准化。串联结构是模块化深空探测器常见并较为合理的结构形式，而如何将运载对探测器整体模态频率的指标要求合理转化为对探测器各个模块结构的设计要求是当前工作中的一项挑战。根据子结构综合模态法并基于固定边界法和悬臂梁理论，提出了探测器子结构模块动力学模态指标的分配方法。采用3种子结构模块极限处理方法，用全解析方式推导了子结构模块的基频表达式，并分析了子结构模块的动力学特性与探测器整体结构动力学特性之间的关系。提出的子结构模块的动力学指标分解方法操作简单，精度较高，可为串联式模块化深空探测器的设计提供关键性的指导。     

Suggestion for aircraft flying qualities requirements of a short-range air combat mission

Owing to the lack of a direct link with the operations in short-range air combat,conventional aircraft flying qualities criteria are inappropriate to guide the design of a task-tailored flight control law.By applying the mission-oriented flying qualities evaluation approach,various aircraft with different control law parameters are evaluated on a ground-based simulator.This paper compares the evaluation results with several conventional flying qualities criteria,and discusses the appropriate parameter combination to reflect the flying qualities requirements of short-range air combat,The comparison and analysis show that a short-range air combat mission requires a higher minimum short period mode natural frequency and a smaller maximum roll mode time constant,and allows a lower minimum pitch attitude bandwidth and a higher maximum short period mode damp ratio than those of conventional flying qualities criteria.Furthermore,a combination of the pitch attitude bandwidth,the pitch attitude magnitude at the bandwidth frequency,and the pitch attitude transfer function gain can define the flying qualities requirements of short-range air com bat.The new metric can successfully predict the flying quality levels of aircraft in a short-range air combat mission.