行星软着陆GPS有模型强化学习制导方法

由于距离地球较远、测控延时误差较大、飞行环境十分复杂且难以提前预测，行星软着陆的自主制导技术目前存在水平位置估计困难、导航参考信息匮乏、复杂地形着陆困难等挑战。针对行星软着陆存在的困难和挑战，提出了基于引导策略搜索算法的有模型强化学习制导方法，实现了着陆器在初始状态受到扰动时，无需重新规划，仍能在满足约束条件的情况下降落在指定位置。该方法将迭代线性二次调节器作为控制器，产生初始轨迹；其次，使用多层神经网络拟合制导策略；最后，利用控制器监督策略学习，进而收敛产生可行策略。针对行星表面软着陆的仿真验证结果显示该算法仅通过几次循环，即可以实现初始状态变化的快速软着陆。一方面表明了基于有模型强化学习的数据高效利用率，另一方面也证明了强化学习方法在深空探测领域中具有广阔的应用前景。     

Impact point prediction guidance based on iterative process for dual-spin projectile with fixed canards

The fixed canards configuration of a dual-spin projectile makes it difficult to apply the traditional guidance law. In this study, a modified impact point prediction guidance strategy based on an iterative process was developed for a class of dual-spin projectiles with fixed canards, to reduce the impact point dispersion. The guidance strategy is dependent on the modified projectile linear theory to rapidly predict the flight states and the impact point. For projectiles with control applied to the trajectory, the modified projectile linear theory method is known to achieve poor impact point prediction. To improve the prediction accuracy, improvements were made to the modified projectile linear theory by considering the products of the yaw rate and other small quantities. The guidance strategy is based on the iterative process for the continuous adjustment of the expected output of the roll angle of the course correction fuze, to minimize the direction error between the predicted impact point and target location. Studies were conducted on a model dual-spin projectile configuration to demonstrate the guidance details. The numerical simulations indicate that the proposed guidance strategy can effectively reduce the projectile impact point dispersion.     

Robust LPV modeling and control of aircraft flying through wind disturbance

This article deals with the disturbance attenuation control of aircraft flying through wind shear via Linear Parameter Varying(LPV) modeling and control method. A Flight Dynamics Model(FDM) with wind shear effects considered was established in wind coordinate system. An LPV FDM was built up based on function substitution whose decomposing function was optimized by Genetic Algorithm(GA). The wind disturbance was explicitly included in the system matrix of LPV FDM. Taking wind disturbance as external uncertainties, robust LPV control method with the LPV FDM was put forward. Based on ride quality and flight safety requirements in wind disturbance, longitudinal and lateral output feedback robust LPV controllers were designed respectively,in which the scheduling flight states in LPV model were actually dependent parameters in LPV control. The results indicate that LPV FDM can reflect the instantaneous dynamics of nonlinear system especially at the boundary of aerodynamic envelope. Furthermore, the LPV FDM also can approach nonlinear FDM's response in wind disturbance special flight. Compared with a parameter-invariant LQR controller designed with a small-disturbance FDM, the LPV controllers show preferable robustness and stability for disturbance attenuation.     

Heading south with a north-up map: A choice processing analysis of map alignment effects

This study employed an information accumulation model of choice reaction times to investigate alignment effects in mental representations of maps. University students studied a map from a single orientation (with north at the top). In a subsequent two-choice reaction time task, the students’ spatial knowledge of the map was assessed employing spatial left/right judgments, which were made from imagined perspectives that were either north-aligned or south-aligned. Data showed a standard alignment effect, favoring north- over south-aligned trials. To examine the locus of this effect, data were fit using the Linear Ballistic Accumulator (LBA) model of speeded decisions (Brown & Heathcote, 2008). Of interest were three model parameters: drift rate, the speed at which evidence accumulates toward a response; response threshold, the amount of evidence demanded from the decision maker before selecting a response; and non-decision time, the time consumed by pre- and postdecisional processes. The best-fitting model suggested that non-decision time accounted for the alignment effect. The difference in non-decision time between north and south-aligned judgments suggests a mental alignment stage on south-aligned trials, accounting for the longer reaction times for judgements misaligned with the presented north orientation of the map.     

Effect of removing the common mode errors on linear regression analysis of noise amplitudes in position time series of a regional GPS network & a case study of GPS stations in Southern California

The analysis of the correlations between the noise in different components of GPS stations has positive significance to those trying to obtain more accurate uncertainty of velocity with respect to station motion. Previous research into noise in GPS position time series focused mainly on single component evaluation, which affects the acquisition of precise station positions, the velocity field, and its uncertainty. In this study, before and after removing the common-mode error (CME), we performed one-dimensional linear regression analysis of the noise amplitude vectors in different components of 126?GPS stations with a combination of white noise, flicker noise, and random walking noise in Southern California. The results show that, on the one hand, there are above-moderate degrees of correlation between the white noise amplitude vectors in all components of the stations before and after removal of the CME, while the correlations between flicker noise amplitude vectors in horizontal and vertical components are enhanced from un-correlated to moderately correlated by removing the CME. On the other hand, the significance tests show that, all of the obtained linear regression equations, which represent a unique function of the noise amplitude in any two components, are of practical value after removing the CME. According to the noise amplitude estimates in two components and the linear regression equations, more accurate noise amplitudes can be acquired in the two components.     

基于事件触发的航天器变周期控制方法研究

摘要： 随着未来航天技术的发展对航天器自主性工作的要求越来越高，星上嵌入式系统所需处理的数据量也急剧增大.而如何在通信与计算资源约束下保证航天器性能就成为一个关键问题.本文基于事件触发控制方法，提出一种在保证控制性能前提下能够大幅降低星上总线负载的航天器姿态控制方法.并从扰动系统理论出发，给出算法的设计流程和稳定性证明.通过仿真算例验证算法的有效性.     

Novel active driven drop tower facility for microgravity experiments investigating production technologies on the example of substrate-free additive manufacturing

Through the striving of humanity into space, new production processes and technologies for the use under microgravity will be essential in the future. Production of objects in space demands for new processes, like additive manufacturing. This paper presents the concept and the realization for a new machine to investigate microgravity production processes on earth. The machine is based on linear long stator drives and a vacuum chamber carrying up to 1000?kg. For the first time high repetition rate and associated low experimental costs can provide basic research. The paper also introduces the substrate-free additive manufacturing as a future research topic and one of our primary application.     

飞控系统受限控制量线性规划最优分配

概要地介绍了具有冗余操纵面的飞控系统中受限制量分配问题的概念,数学表述方法和直接最优分配方案及其几何算法,并指出该算法在存在难于计算机实现的困难。通过分析,将该问题转化为标准线性规划问题,给出了详细的转化过程,从而使其易于计算机实现。最后通过算例说明了这处改进和算法是正确有效的。     

线性自抗扰控制器的噪声抑制改进研究

针对线性自抗扰控制器对噪声敏感的问题,提出了一种基于预报线性跟踪微分器的噪声抑制自抗扰控制器。首先给出了基于预报思想的线性跟踪微分器的一般形式,并分析了其频域特性;然后以航空飞行器姿态控制为例,设计了二阶预报-跟踪微分自抗扰控制器,并利用控制器疲劳度(Weariness degree)的概念,分析了噪声抑制自抗扰控制器的对噪声的抑制特性及闭环控制频域特性;最后通过飞行器硬件在环仿真(Hardware-in-the-Loop Test)对将该方法与传统惯性滤波器、线性跟踪微分器进行对比。结果表明该方法能有效抑制噪声污染对线性自抗扰控制器闭环特性的影响,降低扩张状态观测器高增益带来的噪声放大问题,增强控制器的鲁棒性,并能降低滤波带来的相位延迟,具有工程实用性。     

新一代运载火箭控制系统总线

介绍了目前各种高速数据总线。主要包括火线、航天光纤数据总线、SpaceWire,光纤通道、FDDI,ATM,以太网等。对比了这些总线的特点和性能,并根据火箭控制系统的性能要求,对这些总线进行筛选。最终确定光纤通道作为新一代火箭控制系统总线的首选。