航天器环境干扰力矩的闭环辨识与补偿

研究引入干扰力矩辨识的方法提高三轴稳定航天器在稳态运行期间的高精度指向控制问题.基于航天器的稳态输出数据和系统传递函数,对环境干扰力矩的完整模型进行闭环辨识.其中采用改进的特征系统实现相关算法和多元线性回归法辨识环境干扰力矩的模型参数,最后使用前馈控制对所辨识的环境干扰力矩实现在线补偿.分析和仿真结果表明,该方案能有效地克服不确定的环境干扰力矩对姿态稳定度的影响,提高在轨运行航天器的姿态稳定精度.     

直接力与气动力复合控制系统姿态稳定问题研究

大气层内直接力与气动力复合控制导弹具有响应快速、可用过载大等优点，可以拦截高速、高机动性目标。研究制导末端轨控直接力与气动力复合系统姿态稳定问题。首先分析了复合系统的特点和控制问题，建立了控制模型。然后应用扩张状态观测器观测对象模型内扰和外扰的实时作用量，进行反馈补偿，实现了动态线性化。最后设计了非平滑反馈控制律，从而实现了复合系统的姿态控制设计。仿真结果表明，系统具有良好的动态性能和稳态性能，控制器具有很强的鲁棒性。     

双太阳翼GEO卫星在轨角动量管控方法

地球同步轨道(GEO)卫星在轨的主要环境干扰力矩为太阳光压力矩和重力梯度力矩,干扰力矩的累积效应表现为飞轮转速的变化,需要通过外力矩进行角动量卸载避免飞轮饱和。由于GEO磁场极弱,卫星无法使用磁力矩卸载,只能通过喷气卸载,而喷气将对卫星轨道产生影响,因此需要尽可能延长卸载周期。针对配置双对称太阳电池阵GEO卫星的角动量管控需求,首先建立卫星在惯性空间中角动量积累模型,并映射到卫星本体系中,得到本体系中的角动量变化规律。通过飞轮在轨转速遥测数据,精确辨识获取环境干扰力矩特征参数,获得真实可靠的干扰模型。以角动量卸载周期最长为原则,基于在轨环境干扰模型制定角动量管控策略,并准确预估下次角动量卸载时间。经在轨数据处理与分析表明:提出的角动量管控策略,可有效将飞轮的角动量卸载周期提升为原来的2倍,有效提升卫星在轨应用效能,具有实际工程意义。     

基于干扰观测器的四旋翼无人机离散时间容错控制

为了飞行控制方案便于在计算机上实现，针对具有外部干扰和执行器加性故障的四旋翼无人机（UAV）角度运动方程，给出一种基于干扰观测器的离散时间跟踪控制方案。通过设计离散时间干扰观测器抑制外部干扰和执行器故障的不利影响，并结合干扰观测器设计离散时间控制器。通过数值仿真验证了基于干扰观测器的离散时间容错控制方案的有效性。仿真结果表明，设计的离散控制器能够保证外部干扰和执行器故障综合作用下的四旋翼UAV系统跟踪控制性能。     

Effects of TADs on the F region of the mid-latitude ionosphere during an intense geomagnetic storm

Based on observations of two ionosondes at Wuhan and Kokubunji, this paper presents effects of TADs on the daytime mid-latitude ionosphere during the intense geomagnetic storm on March 31, 2001. During a positive ionospheric storm, the start of the enhancement of the foF2 (F2 peak plasma frequency) at Wuhan lags that at Kokubunji by 15 min, which corresponds to the time interval of traveling atmospheric disturbances (TADs’) propagation from Kokubunji to Wuhan. Associated with the uplifting of the hmF2 (height of F2 peak) caused by TADs, it is observed by the two ionosondes that the F1 cusp becomes better developed. Therefore, during a geomagnetic storm, TADs originating from the auroral oval may have a strong influence on the shape of the electron density profile in the F1 region ionosphere at middle latitudes. It is highly likely that TADs are responsible for the evolution of the F1 cusp.     

遥感卫星扰振对TDICCD相机图像影响的仿真与分析

随着传输型遥感卫星结构的扩大化及灵活性的增强,对图像品质产生影响的扰振越来越受到重视。当遥感卫星在轨进行成像时,相机的图像品质会由于星上活动部件的运动的影响而下降。文章从调制传递函数（Modulation Transfen Function,MTF）角度出发,对不同工况下太阳翼转动驱动机构（BAPTA）和动量轮对图像品质的影响进行了仿真和评估。同时,针对高分辨率相机成像品质影响,从动力学仿真方面对星体扰振的幅值和频率进行了有限元分析,确定了扰振源的频率和幅值。最后,根据仿真分析结果,提出了星上扰振控制方案建议。     

Modeling of ionospheric parameter variations in East Asia during the moderate geomagnetic disturbances

The results of modeling of ionospheric disturbances observed in the East Asian region during moderate storms are presented. The numerical model for ionosphere–plasmasphere coupling developed at the ISTP SB RAS is used to interpret the data of observations at ionospheric stations located in the longitudinal sector of 90–130°E at latitudes from auroral zone to equator. There is obtained a reasonable agreement between measurements and modeling results for winter and equinox. In the summer ionosphere, at the background of high ionization by the solar EUV radiation in the quiet geomagnetic period the meridional thermospheric wind strongly impacts the electron concentration in the middle and auroral ionosphere. The consistent calculations of the thermospheric wind permit to obtain the model results which are closer to summer observations. The actual information about the space-time variations of thermosphere and magnetosphere parameters should be taken into account during storms.     

高超声速边界层转捩机理及应用的若干进展回顾

高超声速边界层转捩对飞行器的热传递、表面摩阻和流动分离等有重要影响,尤其是再入飞行器和吸气式巡航飞行器。然而,人们对边界层转捩机理中的很多问题认识还不清楚,或存在争议。本文从扰动波演化的角度回顾了高超声速边界层感受性、线性稳定性和非线性作用的国内若干研究进展,并以基于谐波共振的人工转捩技术为例示范了这些机理认识在转捩控制上的应用。扰动的产生和发展是认识边界层转捩机理的核心。通过研究扰动波来认识边界层转捩机理,开展应用创新研究对提升飞行器性能具有重要意义。     

Ionospheric TEC disturbances over China during the strong geomagnetic storm in September 2017

From September 7 to 8, 2017, a G4-level strong geomagnetic storm occurred, which seriously impacted on the Earth’s ionosphere. In this work, the global ionospheric maps released by Chinese Academy of Sciences are used to investigate the ionospheric responses over China and its adjacent regions during the strong storm. The prominent TEC enhancements, which mainly associated with the neutral wind and eastward prompt penetration electric field, are observed at equatorial ionization anomaly crests during the main phase of the storm on 8 September 2017. Compared with those on 8 September, the TEC enhancements move to lower-latitude regions during the recovery phase on 9 September. A moderate storm occurred well before the start of the strong storm causes similar middle-latitude TEC enhancements on 7 September. However, the weak TEC depletion is observed at middle and low latitude on 9–10 September, which could be associated with the prevailing westward disturbance electric field or storm-time neural composition changes. In addition, the storm-time RMS and STD values of the ionospheric TEC grids over China increase significantly due to the major geomagnetic storm. The maximum of the RMS reaches 12.0 TECU, while the maximum of the STD reaches 8.3 TECU at ~04UT on 8 September.     

Neural adaptive control for a ground experiment of the space proximity operation in a six-degree-of-freedom micro-gravity simulation system

In this study, a neural adaptive controller is developed for a ground experiment with a spacecraft proximity operation. As the water resistance in the experiment is highly nonlinear and can significantly affect the fidelity of the ground experiment, the water resistance must be estimated accurately and compensated using an active force online. For this problem, a novel control algorithm combined with Chebyshev Neural Networks (CNN) and an Active Disturbance Rejection Control (ADRC) is proposed. Specifically, the CNN algorithm is used to estimate the water resistance. The advantage of the CNN estimation is that the coefficients of the approximation can be adaptively changed to minimize the estimation error. Combined with the ADRC algorithm, the total disturbance is compensated in the experiment to improve the fidelity. The dynamic model of the spacecraft proximity maneuver in the experiment is established. The ground experiment of the proximity maneuver that considers an obstacle is provided to verify the efficiency of the proposed controller. The results demonstrate that the proposed method outperforms the pure ADRC method and can achieve close-to-real-time performance for the spacecraft proximity maneuver.