环氧树脂基复合材料加筋板结构吸湿行为研究

环氧树脂基复合材料的性能对湿热环境敏感，掌握该材料所组成结构的吸湿行为对其实际应用具有重要意义。通过以碳纤维环氧树脂基复合材料层合板的non-Fickian吸湿模型为基础，建立环氧树脂基复合材料加筋板结构的non-Fickian吸湿模型，在70℃/85% RH湿热条件下开展加筋板结构的吸湿实验，对所建立模型进行验证，并与已有的加筋板吸湿模型进行对比，通过所建立模型给出了加筋板沿厚度方向的吸湿量分布规律。结果表明:所建立加筋板non-Fickian吸湿模型的计算结果与实验结果吻合良好，在整个吸湿阶段相对误差小于5%，模型的预测精度高于传统Fick模型。所建立的加筋板non-Fickian吸湿模型可用于环氧树脂基复合材料加筋板层合结构吸湿量的准确预测。      

仿壁虎刚毛阵列对卫星表面吸附能力模型与计算

壁虎脚的粘着机理对航天机器人脚掌的研制和开发具有重要启发意义.通过单根刚毛与光滑表面黏着力模型与计算、卫星粗糙表面分布模型与接触概率与计算、刚毛阵列与卫星粗糙表面黏着力模型与计算等，分析仿壁虎刚毛阵列对卫星表面的吸附能力，发现在一定条件下仿壁虎刚毛阵能够在太空失重环境中黏着在卫星表面，对航天舱内爬行机器人、管道机器人的研制和开发具有重要的启示意义.     

一种主动悬架式火星车稳定裕度优化控制策略

针对火星车在非结构化环境下行驶存在的稳定性不足而导致倾覆的风险，提出针对一种六轮主动悬架式火星车的稳定裕度优化控制方法。首先，考虑了火星车悬架机构调整过程中车轮与接触地面滑移和侧倾等运动关系，建立和完善了六轮主动悬架式火星车行驶的运动学模型。然后，以火星车夹角调整机构角度为变量，推导火星车在非结构环境下的稳定裕度模型。之后，使用内点法求解火星车稳定裕度的最优解，并获得期望的夹角调整机构关节角度。在此基础上，对夹角调整机构的关节角度进行规划和控制，实现火星车悬架机构构型的调整，从而提高火星车在非结构化环境下行驶的稳定裕度。最后，对火星车稳定裕度优化控制策略的有效性进行仿真验证，结果表明，所提出的控制方法可有效提高火星车在非结构化环境下行驶的稳定裕度。     

Backstepping sliding-mode control of stratospheric airships using disturbance-observer

In the presence of unknown disturbances and model parameter uncertainties, this paper develop a nonlinear backstepping sliding-mode controller (BSMC) for trajectory tracking control of a stratospheric airship using a disturbance-observer (DO). Compared with the conventional sliding mode surface (SMS) constructed by a linear combination of the errors, the new SMS manifold is selected as the last back-step error to improve independence of the adjustment of the controller gains. Furthermore, a nonlinear disturbance-observer is designed to process unknown disturbance inputs and improve the BSMC performances. The closed-loop system of trajectory tracking control plant is proved to be globally asymptotically stable by using Lyapunov theory. By comparing with traditional backstepping control and SMC design, the results obtained demonstrate the capacity of the airship to execute a realistic trajectory tracking mission, even in the presence of unknown disturbances, and aerodynamic coefficient uncertainties.     

一种基于深度学习的电磁信息泄漏检测方法

电子信息设备工作时无意发射的电磁波中包含有用信息，会导致电磁信息泄漏，从而威胁设备的信息安全。现有的电磁信息泄漏检测方法，在复杂现场环境下，难以从具有不确定性的电磁泄漏信号中提取有用信息。面向电磁信息安全问题，开展了电磁信息泄漏检测研究，提出了一种基于深度学习的检测方法。设计了一个适用于电磁泄漏信号的一维卷积神经网络，并结合改进的梯度加权类激活映射方法，在未知电磁信息泄漏特征的前提下，通过深度学习实现电磁信息泄漏特征的智能标定和自动提取，从而解决了现场环境下电磁信息泄漏检测难以提取有用信息的问题。分别通过实测和仿真对比实验，验证了所提方法的有效性。      

运载火箭交叉输送系统关键影响因素辨识与分析

为深入了解交叉输送系统特性，辨识关键影响因素及其影响规律，通过系统建模与仿真分析开展交叉输送系统关键影响因素研究。推导了交叉输送系统关键组件数学模型，基于AMESim软件构建了系统仿真模型。研究表明，贮箱气枕压差和输送管路流阻是两大关键影响因素。为保证推进剂按额定流量交叉输送，必须对各子级箱压进行精确调节。由于助推上游主管路和交叉输送管路流阻对系统性能影响较大，在设计交叉输送系统时应该尽量缩短助推上游主管路和交叉输送管路，并尽量减小不同助推的管路流阻偏差。     

Research on navigation of satellite constellation based on an asynchronous observation model using X-ray pulsar

Pulsar navigation is a promising navigation method for high-altitude orbit space tasks or deep space exploration. At present, an important reason for restricting the development of pulsar navigation is that navigation accuracy is not high due to the slow update of the measurements. In order to improve the accuracy of pulsar navigation, an asynchronous observation model which can improve the update rate of the measurements is proposed on the basis of satellite constellation which has a broad space for development because of its visibility and reliability. The simulation results show that the asynchronous observation model improves the positioning accuracy by 31.48% and velocity accuracy by 24.75% than that of the synchronous observation model. With the new Doppler effects compensation method in the asynchronous observation model proposed in this paper, the positioning accuracy is improved by 32.27%, and the velocity accuracy is improved by 34.07% than that of the traditional method. The simulation results show that without considering the clock error will result in a filtering divergence.