空间激光干涉引力波探测器轨道修正方法

针对空间激光干涉引力波探测器轨道修正问题,提出一种基于虚拟编队构型设计的航天器轨道修正方法。空间激光干涉引力波探测器由3颗航天器组成等边三角形构型。由于入轨误差和摄动的影响,探测器的构型不稳定。假设名义轨道上运行着一颗理想航天器,实际轨道上的真实航天器与之组成虚拟编队,探测器的3颗真实航天器分别与对应的理想航天器组成3个虚拟编队。考虑探测器构型稳定性要求和摄动的影响,对虚拟编队的构型进行设计,进而求解航天器平均轨道要素修正量。求解得到的航天器平均轨道要素修正量小于偏差量,轨道修正通过四脉冲控制实现。数值仿真结果表明,该方法通过部分轨道修正满足了探测器的构型稳定性要求,具有减少燃料消耗、延长任务寿命的潜力。      

常值推力下面内轨道优化的一种改进间接法

针对常值推力下航天器面内轨道转移燃耗最省的轨道优化问题,利用极大值原理导出了最优轨迹下推力方向角应满足的控制方程,结合动力学方程建立了一种求解航天器面内最优转移轨道的改进间接法,及其在推力方向角调节能力受限条件下的应用方法。由于避免了协态变量微分方程组的求解,改进间接法相对于传统间接法降低了初值猜测的难度和计算量;与采用Gauss伪谱法求解相比,所建立的改进间接法求解结果精度更高,数值光滑性更好。仿真算例表明:推力方向角调节能力受限会改善推力方向角变化规律,降低推力方向角变化范围;就燃耗而言,推力越大燃耗越多,优化轨道节省燃耗更加显著。     

Formation flying reconfiguration manoeuvres via environmental forces in highly elliptical orbits

A study on reconfiguration manoevres applied to a tetrahedral formation in highly elliptical orbits is proposed, by using a propellantless solution. The manoeuvring strategy consists in exploiting certain environmental forces, specifically those provided by solar radiation pressure and atmospheric drag, by actively controlling the satellites’ attitudes. Through inverse dynamics particle swarm optimization the optimal attitudes required for the manoeuvres are evaluated, whereas the configuration’s evolution is simulated by a high-fidelity orbital simulator. The goal of the reconfiguration problem is to find an optimal control in order for the four spacecraft to reach a desired configuration in a specified portion of orbit, where the desired configuration is evaluated by a shape and size geometric parameter. By increasing the manoeuvring time and the satellites’ area to mass ratio, all the case studies considered are successfully verified.     

太阳帆航天器编队维持和重构的方法研究

针对高面质比航天器可以利用太阳光压进行轨道控制的特点,本文提出一种太阳帆航天器编队构型维持和重构的方法.该方法通过控制主从航天器太阳帆姿态角和反射系数,调整主从航天器之间的光压差,产生抵消编队成员间相对运动受到摄动差或进行轨道机动时所需的连续小推力,从而实现编队构型的维持和重构.仿真结果表明,在主航天器太阳帆的姿态角和反射系数相对固定的条件下,对于太阳同步轨道上的高面质比太阳帆航天器编队,使用滑模控制方法,能够调整编队中从航天器太阳帆的姿态角和反射系数产生推力抵消摄动力影响,达到长期维持太阳帆航天器编队构型的目的;通过开环控制方法,能够调整编队中从航天器太阳帆的姿态角和反射系数产生连续小推力,在较长时间周期内实现编队重构.     

电磁航天器编队悬停鲁棒协同控制方法

针对电磁航天器编队近地轨道悬停问题,提出一种在缺少参考轨道准确信息时的协同控制方法。用TH方程描述航天器间的相对运动,选择与参考轨道同周期的圆轨道为标称轨道。将参考轨道相对于标称圆轨道的偏差、地球非球形引力、大气阻力及其他天体引力等参数单独归类,视其为不确定量,构成不确定系统。通过引入一致性理论,在电磁作用模型和动力学方程均存在不确定性的条件下,针对航天器编队悬停的目标设计了鲁棒协同控制律。考虑能量消耗最优和均衡以及轨道姿态解耦,给出了通过优化进行磁矩配置的方案。仿真结果表明,所设计的鲁棒协同控制律能够实现编队电磁航天器高精度悬停,所给出的磁矩配置方案能够实现磁矩的合理分配。      

Optimal spacecraft formation establishment and reconfiguration propelled by the geomagnetic Lorentz force

The Lorentz force acting on an electrostatically charged spacecraft as it moves through the planetary magnetic field could be utilized as propellantless electromagnetic propulsion for orbital maneuvering, such as spacecraft formation establishment and formation reconfiguration. By assuming that the Earth’s magnetic field could be modeled as a tilted dipole located at the center of Earth that corotates with Earth, a dynamical model that describes the relative orbital motion of Lorentz spacecraft is developed. Based on the proposed dynamical model, the energy-optimal open-loop trajectories of control inputs, namely, the required specific charges of Lorentz spacecraft, for Lorentz-propelled spacecraft formation establishment or reconfiguration problems with both fixed and free final conditions constraints are derived via Gauss pseudospectral method. The effect of the magnetic dipole tilt angle on the optimal control inputs and the relative transfer trajectories for formation establishment or reconfiguration is also investigated by comparisons with the results derived from a nontilted dipole model. Furthermore, a closed-loop integral sliding mode controller is designed to guarantee the trajectory tracking in the presence of external disturbances and modeling errors. The stability of the closed-loop system is proved by a Lyapunov-based approach. Numerical simulations are presented to verify the validity of the proposed open-loop control methods and demonstrate the performance of the closed-loop controller. Also, the results indicate the dipole tilt angle should be considered when designing control strategies for Lorentz-propelled spacecraft formation establishment or reconfiguration.     

基于引导型人工免疫算法的最优Lambert变轨

主要研究了燃料最省的Lambert双脉冲变轨问题.首先对普适变量法进行改进以避免奇异,并将其用于Lambert双脉冲变轨问题的求解.然后针对只给定初始时刻追踪航天器和目标航天器的轨道要素及总时间约束的交会问题,引入调相时间的概念,并将其和转移时间作为Lambert变轨的优化变量.最后采用引导型人工免疫算法GAIA(Guiding Artificial Im-mune Algorithm)对该优化问题进行寻优.仿真算例表明,与自适应遗传算法AGA(Adaptive Ge-netic Algorithm)相比,GAIA具有更强的寻优能力和更快的寻优速度,从而验证了GAIA用于最优Lambert变轨的有效性.     

空间交会中多圈Lambert变轨算法研究

用两个位置和飞行时间来决定轨道的问题 ,即Gauss问题 ,是航天动力学中的一个基本问题。而Lambert交会问题是Gauss问题在航天器空间交会领域的具体化。文中提出了一种新的算法 ,解决了航天器多圈Lambert变轨的求解问题 ,由此来寻求在飞行时间较长的情况下 ,航天器的Lambert交会燃料最优轨道 ;并由算例验证了这种算法的正确性和鲁棒性     

航天器推力器布设对燃料消耗的影响

对航天器六自由度控制的推力分配问题进行了研究,参考卫星导航系统中几何精度衰减因子(GDOP) 的定义,首次提出了推力器构型燃料消耗因子（FCF）的概念,并将此概念用于定义推力器相对几何关系引起的期望控制量与燃料消耗间的比例关系。通过矩阵理论分析得到了燃料消耗因子随推力器数目增加而减少的结论,并通过仿真计算对结论进行了验证。     

基于区域平均燃料消耗的推力器配置问题

摘要： 为实现精准的交会对接需要同时进行相对位置与相对姿态的六自由度控制.在控制指令一定的情况下,不同的推力器配置以及不同的控制分配算法会带来不同的推进剂消耗.实际任务中,可以从时间和空间上对控制指令进行划分,即控制指令在一段时间内集中在一定的空间区域内.本文提出发动机配置区域平均燃料消耗的度量指标,针对三维和六维控制任务给出区域平均燃料消耗的计算方法,进而提出对推力器配置阵的优化思路,对于完善控制指令分配和推力器配置设计与优化有重要的意义.     

Spacecraft formation and orbit control using differential attitude-dependent solar radiation pressure

This paper introduces a linear model for spacecraft formation dynamics subject to attitude-dependent solar radiation pressure (SRP) disturbance, with the SRP model accounting for both absorption and specular/diffuse reflection. Spacecraft attitude is represented in modified Rodriguez parameters (MRPs), which also parameterize the orientation of individual facets for a spacecraft with fixed geometry. Compared to earlier work, this model incorporates analytic approximation of the SRP-perturbed chief orbit behavior in a manner enabling its use in applications with infrequent guidance updates. Control examples are shown for single-plate representations of hypothetical spacecraft with generally realistic optical parameters. The results demonstrate the validity of the model and the feasibility of SRP-based formation and rendezvous control in orbits around small bodies and in high orbits around the Earth such as the GEO belt.     

太阳帆航天器行星际轨道转移优化算法

研究基于遗传算法的太阳帆行星际转移轨道的全局优化问题.通过极小值原理推导了太阳帆全局优化控制律,并以太阳帆飞行时间最短为优化目标函数,运用遗传算法对发射时间、到达时间和协态变量初值进行参数优化设计.为了解决轨道转移这一多约束优化问题,在遗传算法中加入动态罚函数.在此理论基础上作了从地球同步轨道出发到火星同步轨道转移和从地球出发与火星交会两个算例,仿真结果表明了该方法在太阳帆转移轨道全局优化中的有效性.     

Multi-objective optimal formation reconfiguration with scalarization and stochastic boundaries

A new method is proposed for multi-objective optimal control of satellite formation reconfiguration. First, necessary optimality conditions of single-objective fuel-optimal reconfiguration are studied. Problem of initial guess of the costate and control discontinuity are addressed by using a new developed stochastic based method. Terminal conditions of Two Point Boundary Value Problem (TPBVP) of the optimal control equations are relaxed using augmented Gaussian. Variances or bandwidths of the terminal conditions are set to decision variables to be optimized. Responses of varied initial costate are modeled and propagated using Riccati equation. Using quadratic convolution of relaxed terminal conditions, objective function of the fuel-optimal problem is reformulated into a quadratic equation, and a gradient based optimizer is used to search the optimal initial guess. In the second part of the paper, optimal control of format flying reconfiguration with two competitive objectives:fuel and time of flight (ToF) is studied. With Pascoletti-Serafini scalarization, the Multi-objective Optimal Control Problem (MOCP) is scalarized into a set of weighted Single-objective Optimal Control Problems (SOCP). Hamiltonian and switch function for the weighted SOCP are developed and constructed. New developed stochastic based approach is then used to search the optimal Pareto solutions. Verification and performances of proposed algorithms are demonstrated through numerical simulations of single-objective and multi-objective optimal control of low-thrust elliptical orbit formation reconfiguration. Potential applications of the algorithms to some other preliminary space mission designs are also discussed.     

电磁航天器编队动力学建模与运动规划方法

基于电磁航天器作用原理,利用拉格朗日方法,建立电磁航天器“绳系”动力学模型.基于偏差线性化动力学模型,以切向、径向编队为例,分析编队构型保持稳定性,设计构型保持控制律;将双星电磁航天器编队(EMFF,Electromagnetic Formation Flight)重构运动规划问题转化为标准优化问题,利用高斯伪谱优化方法进行求解.并提出序列控制策略,将该双星模型扩展应用于多星电磁编队构型重构问题,转化为多阶段运动规划问题利用多阶段优化方法进行求解.仿真结果表明本文的动力学建模方法和控制方法是可行的.      

A guidance approach to satellite formation reconfiguration based on convex optimization and genetic algorithms

This paper presents a new approach for autonomous reconfiguration of distributed space systems, which ensures safe guidance of spacecraft formations towards the desired patterns while optimizing the total propellant consumption. The orbital transfer is reduced to the form of a convex optimization problem to guarantee rapid computation of control laws. Hence, tasks are iteratively assigned to the component platforms to detect the best reconfiguration strategy. The path-planning is entrusted to a reference satellite of the cluster, that coordinates the remaining ones by means of a procedure based on genetic algorithms. Two methods are proposed, depending on the organizational architecture of the spacecraft formation. In the first one, the maneuver is completely planned by the reference satellite, that determines final tasks and control actions for the whole cluster. As an alternative to such a fully-centralized approach, a distributed version of the algorithm is proposed: tasks are sorted by the reference satellite and transfer orbits are computed by exploiting the computational resources of the whole cluster. Whatever the considered framework, both the planners ensure a safe transition of the formation towards the target geometry. Simulation results show that, when relative distances are of the order of hundreds of meters, a mean delta-v per satellite of the order of 0.1 m/s is required to reconfigure LEO clusters within one orbital period.     

故障模式下的空间交会防撞设计

  针对轨道平面内某一方向发动机失效的情况,利用控制力的耦合效应,设计了航天器轨道转移的控制律。利用碰撞概率分析航天器发生碰撞的可能性,并结合燃料消耗选择一条碰撞概率小于给定的警戒值且燃料最优的转移轨道。最后通过仿真验证了发动机失效情况下的主动防撞机动控制律的有效性。     

Multi-agent Q-Learning control of spacecraft formation flying reconfiguration trajectories

This paper presents a novel approach based on multi-agent reinforcement learning for spacecraft formation flying reconfiguration tracking problems. In this scheme, spacecrafts learn the control strategy via transfer learning. For this matter, a new generalized discounted value function is introduced for the tracking problems. Due to the digital nature of spacecraft computer systems, local optimal controllers are developed for the spacecrafts in discrete-time. The stability of the controller is proven. Two Q-learning algorithms are proposed, in each of which the optimal control solution is learned on-line without knowledge about the system dynamics. In the first algorithm, each agent learns the optimal control independently. In the second one, each agent shares the learned information with other agents. Next, the collision avoidance capability is provided. The effectiveness of the presented schemes is verified through simulations and compared with each other.     

时间与燃料约束的参数自主寻优变轨滑模控制

航天器相对运动轨控采用滑模控制具有较好的抗扰能力,但参数设置复杂.为贴近工程实际,引入燃料最优约束和寻优算法,提出一种综合考虑时间、燃耗以及误差的参数自主寻优滑模控制.首先,基于线性相对运动方程与指数趋近的滑模控制,建立相对运动滑模控制器模型,并由能量最优的轨迹规划器给出收敛约束时间,实现高效机动;然后,分析滑模控制器...     

空间交会策略回顾及自主快速交会方案研究

介绍了已实施的几种典型的空间交会策略.通过分析现在的2~3d交会方案以及国外最新发展的4圈快速交会方案,总结了实现快速交会所要解决的主要技术问题.针对中国空间交会技术的发展需求,提出了一种自主快速交会方案.对比现有的4圈快速交会方案,该方案所允许的追踪航天器和目标航天器的初始相位角范围大大增加,但燃料消耗基本保持不变,这对开展实际工程有较好的指导意义.     

星载InSAR辅星编队优化设计与分析

以“主星—辅星编队”InSAR系统干涉测高为应用背景,研究辅星编队的优化设计问题。首先,定义优化指标———“有效观测时间比”来描述全轨道周期观测性能,以共绕飞轨道、相位均匀分布的卫星编队(构形类似于CartWheel)作为研究的重点。选取描述编队卫星相对运动的振幅比和相位差作为寻优变量,通过仿真实例用搜索法得出了寻优变量与优化指标的三维关系图,并给出了优化构形的参数区域,得到了最优的编队卫星轨道根数。进一步研究了在主要摄动因素影响下卫星编队构形保持与轨道保持的燃料预算方法,并计算了上述优化构形一年的燃料预算。最后得出有益的结论,为全InSAR系统优化设计提供依据。