Hybrid optimization for multiple-impulse reconfiguration trajectories of satellite formation flying

A hybrid optimization method is developed for fuel-optimal reconfigurations of a group of satellites flying in formation. The genetic algorithm performs a global search to find two-impulse trajectories, and primer vector analysis finds multiple-impulsive local optimal trajectories with the two-impulse trajectories as initial guesses. Hybrid optimization finds globally optimal trajectories for formation reconfigurations, including formation resizing, reassignment and reorientation maneuvers. Multiple-impulse trajectories reduce the fuel consumption from the two-impulse trajectories by up to 4.4% for those maneuvers. In real missions, satellites can follow two-impulse trajectories to gain the advantage of a smaller number of impulses, with the cost of slightly more propellant. The qualitative characteristics of the optimal trajectories are analyzed from the number of optimal trajectories found by hybrid optimization.     

3-D position estimation of isolated target and optimal trajectory choice in parasitic synthetic aperture radar

Bistatic SAR (BSAR) systems have recently been the subject of several studies, but little attention has been given to the potential of the location of targets. In the paper, the performance of the estimation of 3-D position of a target (TPE) in parasitic SAR is obtained analytically and illustrated by computer simulation using ambiguity function analysis, and the maximum likelihood estimate (MLE) approach. It was shown that by using a multi look parasitic BSAR all three coordinates of an isolated point target (IPT) could be evaluated. Analytical closed form equations that characterize the measurement accuracy were derived. In the final these equations will be used to demonstrate various cases of more practical, including optimal trajectories choice under any geometry configuration case, moreover, the conclusion is verified via Matlab.     

烟箱重量在线检测系统的研究

介绍烟箱重量在线检测系统的主要研究内容,概括硬件的结构以及选用的主要设备,阐述上位机软件的主要模块及实现方法。     

线性调节器鲁棒设计法

本文将文献最优控制系统设计加权阵的选择方法推广到鲁棒控制系统设计,进而得到鲁棒控制系统设计的一种新方法。本方法适用于输出反馈系统的最优和鲁棒设计,从而使文献最优全状态反馈系统设计方法成为其一个特例。一个具体实例显示出本方法设计结果具有较文献设计结果较优的性能。     

弹性飞行器敏感元件位置设置与参数优化综合

本文研究了弹性飞行器敏感元件位置的设置问题，分析了敏感元件位置对弹性飞行器稳定性的影响，提出了几类飞行器自动驾驶仪敏感元件可能合适位置的选择准则。从飞行器弹性振动闭环系统方程出发研究了弹性飞行器参数优化综合的某些方法。通过算例得到控制系统返馈系数，陀螺位置，舵面位置优化综合的数值模拟结果。这些结果与该飞行器实际采用的值符合较好。     

三维数模随动下的机翼结构重量优化

目前,基于快速建模下的重量重心估算系统得到了快速发展。为了进一步提高结构重量估算精度,研究了如何在重量重心快速分析(WCGA)系统环境中构建优化模块。以机翼结构重量优化为例,提出优化流程,对优化模块功能进行分解,给出模型简化要求。以A320飞机机翼为例,对梁和长桁进行优化,结果显示,经过优化,有效减轻了结构重量,且相比于传统的减重优化设计方法,极大提高了计算效率。     

航天器快速姿态机动的力矩陀螺控制

考虑一类要求快速、连续的姿态机动控制任务，设计了大角度姿态机动的力矩陀螺操纵律。针对陀螺群构型非奇异情况，考虑陀螺框架角速度上限要求，设计了基于∞范数的力矩陀螺操纵律。为了实现快速的姿态机动衔接，提出了基于参考构型的方法，并通过引入零运动实现。设计了力矩陀螺操纵律的求解算法，给出了参考构型法的解析解。仿真结果表明，该操纵律可适用于快速、连续的姿态机动控制。     

用特征根构造变系数线性最佳控制

本文研究单输入n阶常系数线性系统满足二次型指标(积分区间有限,终点给定为(o,…o)) 的最佳控制。所得结果使用户无需解Riccati方程,也不要用数值法解出两点边值问题,仅由这个两点边值问题的特征根即可构造变系数线性最佳控制。这个结果既适于低价(n=1,2,3)时用来写出变系数线性最佳控制的一般表达式(17)—(19),也适于高阶时用计算机计算,其程序已用FORTRAN-Ⅳ在AD三TAMAX-186机上实现。     

Evasion guidance algorithms for air-breathing hypersonic vehicles in three-player pursuit-evasion games

In practical combat scenario, the cooperative intercept strategies are often carefully designed, and it is challenging for the hypersonic vehicles to achieve successful evasion. Based on the analysis, it can be found that if several Successive Pursuers come from the Same Direction (SPSD) and flight with a proper spacing, the evasion difficulty may increase greatly. To address this problem, we focus on the evasion guidance strategy design for the Air-breathing Hypersonic Vehicles (AHVs) under the SPSD combat scenario. In order to avoid the induced influence on the scramjet, altitude and speed of the vehicle, the lateral maneuver and evasion are employed. To guarantee the remnant maneuver ability, the concept of specified miss distance is introduced and utilized to generate the guidance command for the AHV. In the framework of constrained optimal control, the analytical expression of the evasion command is derived, and the constraints of the overload can be ensured to be never violated. In fact, by analyzing the spacing of the pursers, it can be classified whether the cooperative pursuit is formed. For the coordination-unformed multiple pursers, the evasion can be achieved lightly by the proposed strategy. If the coordination is formed, the proposed method will generate a large reverse direction maneuver, and the successful evasion can be maintained as a result. The performance of the proposed algorithms is tested in numerical simulations.     

Solar sails for perturbation relief: Application to asteroids

A major cause of spacecraft orbital variation comes from natural perturbations, which, in close proximity of a body, are dominated by its non-spherical nature. For small bodies, such as asteroids, these effects can be considerable, given their uneven (and uncertain) mass distribution. Solar sail technology is proposed to reduce or eliminate the net secular effects of the irregular gravity field on the orbit. Initially, a sensitivity analysis will be carried out on the system which will show high sensitivity to changes in initial conditions. This presents a challenge for optimisation methods which require an initial guess of the solution. As such, the Genetic Algorithm (GA) is proposed as the preferred optimisation method as this requires no initial guess from the user. A multi-objective optimisation is performed which aims to achieve a periodic orbit whilst also minimising the effort required by the sail to do so. Given the system sensitivity, the control law for one orbit is not necessarily applicable for any subsequent orbit. Therefore, a new method of updating the control law for subsequent orbits is presented, based on linearisation and use of a Control Transition Matrix (CTM). The techniques will later find application in a multiple asteroid rendezvous mission with a solar sail as the primary propulsion system.