传输型光学遥感器斜模式采样新方法研究

文章介绍了实现超模式采样焦平面3种解决方案面临的技术难点,为避开器件问题提出了一 种新的斜模式采样方法。以任意两雏周期采样理论为基础分析了斜模式采样技术的物理原理,并通过实验 手段验证了斜模式采样技术的可行性。试验结果表明:改变探测器推扫方向的采样间距,斜模式采样技术 可以提高传输型光学遥感器图像的空间分辨率,该技术相对于超模式采样技术,工程实现上要简单。     

多光谱CCD相机的光学配准

文章分析了CCD相机的光学配准原理 ,结合资源后继星CCD相机的特点 ,提出了该相机的光学配准方案 ,并对此方案进行了分析。     

空间机器人地面实验系统的一种鲁棒自适应控制方法

基于李亚普诺夫稳定性直接方法, 针对具有参数及模型不确定性的空间机器人地面实验系统, 提出了一种新的鲁棒自适应控制器。该控制器由三部分组成: 线性PD反馈项, 补偿动力学的自适应控制项, 补偿建模不确定性的鲁棒控制项。控制策略能有效地克服未建模的摩擦力和外部扰动以及吊丝配重系统未补偿掉的重力影响, 并且能保证全局最终一致有界。仿真表明了算法的可行性和有效性     

基于双量程推力传感器的精确测力技术

针对双量程推力传感器在使用中测试精度低的问题,结合传感器固有特性,开展了传感器动态特性分析及误差补偿方法的研究。通过有限元分析和力锤冲击试验,结合结构分析获得了双量程力传感器等效二自由度和三自由度动力学模型。利用近似求积数值法对冲击力试验输出信号进行补偿,获得了接近标准信号的测试结果,对该补偿方法进行了有效性验证。结果显示:本方法对发动机试验的推力信号进行了补偿,推动了单室双推力发动机推力的精确测量,为双推力发动机的推力测试提供了有效途径。     

A direct position determination method with combined TDOA and FDOA based on particle filter

The localization of a stationary transmitter using moving receivers is considered. The original Direct Position Determination (DPD) methods, with combined Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA), do not perform well under low Signal-to-Noise Ratio (SNR), and worse still, the computation cost is difficult to accept when the computational capabilities are limited. To get better positioning performance, we present a new DPD algorithm that proves to be more computationally efficient and more precise for weak signals than the conventional approach. The algorithm partitions the signal received with the same receiver into multiple non-overlapping short-time signal segments, and then uses the TDOA, the FDOA and the coherency among the short-time signals to locate the target. The fast maximum likelihood estimation, one iterative method based on particle filter, is designed to solve the problem of high computation load. A secondary but important result is a derivation of closed-form expressions of the Cramer-Rao Lower Bound (CRLB). The simulation results show that the algorithm proposed in this paper outperforms the traditional DPD algorithms with more accurate results and higher computational efficiency, and especially at low SNR, it is more close to the CRLB.     

Interstellar Mapping and Acceleration Probe (IMAP): A New NASA Mission

The Interstellar Mapping and Acceleration Probe (IMAP) is a revolutionary mission that simultaneously investigates two of the most important overarching issues in Heliophysics today: the acceleration of energetic particles and interaction of the solar wind with the local interstellar medium. While seemingly disparate, these are intimately coupled because particles accelerated in the inner heliosphere play critical roles in the outer heliospheric interaction. Selected by NASA in 2018, IMAP is planned to launch in 2024. The IMAP spacecraft is a simple sun-pointed spinner in orbit about the Sun-Earth L1 point. IMAP’s ten instruments provide a complete and synergistic set of observations to simultaneously dissect the particle injection and acceleration processes at 1 AU while remotely probing the global heliospheric interaction and its response to particle populations generated by these processes. In situ at 1 AU, IMAP provides detailed observations of solar wind electrons and ions; suprathermal, pickup, and energetic ions; and the interplanetary magnetic field. For the outer heliosphere interaction, IMAP provides advanced global observations of the remote plasma and energetic ions over a broad energy range via energetic neutral atom imaging, and precise observations of interstellar neutral atoms penetrating the heliosphere. Complementary observations of interstellar dust and the ultraviolet glow of interstellar neutrals further deepen the physical understanding from IMAP. IMAP also continuously broadcasts vital real-time space weather observations. Finally, IMAP engages the broader Heliophysics community through a variety of innovative opportunities. This paper summarizes the IMAP mission at the start of Phase A development.     

Fault-tolerant control with mixed aerodynamic surfaces and RCS jets for hypersonic reentry vehicles

This paper proposes a fault-tolerant strategy for hypersonic reentry vehicles with mixed aerodynamic surfaces and reaction control systems (RCS) under external disturbances and subject to actuator faults. Aerodynamic surfaces are treated as the primary actuator in normal situations, and they are driven by a continuous quadratic programming (QP) allocator to generate torque com-manded by a nonlinear adaptive feedback control law. When aerodynamic surfaces encounter faults, they may not be able to provide sufficient torque as commanded, and RCS jets are activated to augment the aerodynamic surfaces to compensate for insufficient torque. Partial loss of effective-ness and stuck faults are considered in this paper, and observers are designed to detect and identify the faults. Based on the fault identification results, an RCS control allocator using integer linear programming (ILP) techniques is designed to determine the optimal combination of activated RCS jets. By treating the RCS control allocator as a quantization element, closed-loop stability with both continuous and quantized inputs is analyzed. Simulation results verify the effectiveness of the proposed method.     

A novel environmental control system based on membrane dehumidification

This paper conducts a simulation study of a novel aircraft environmental control system based on membrane dehumidification(MD-ECS),and compares the system with the up-to-date four-wheel high pressure de-water system(4WHPDW-ECS).Mathematical models for the two systems are established,and a system simulation using a numerical technique is performed to analyze and compare the cooling performance of the two systems.Simulation results show that the cooling capacity of MD-ECS is much higher than that of 4WHPDW-ECS under the same working conditions,indicating that the novel system is theoretically feasible and promising.The effects of the sweep ratio of the membrane dehumidifier on the dehumidification and cooling performance of the system is also investigated.     

发动机电子调节器防消喘通道检测系统

介绍了某型发动机综合电子调节器防消喘通道检测系统的硬件、软件结构设计及测控功能的实现。实验表明，基于ATLAS的检测系统能够迅速准确地对该通道进行检测和维护，具有较广的应用价值，可用于发动机综合电子调节器的建模仿真与研究。     

Biomass-Derived Nitrogen and Sulfur Co-Doped 3D Carbon Networks with Interconnected Meso-Microporous Structure for High-Performance Supercapacitors

Three-dimensional(3D)carbon networks have been explored as promising capacitive materials thanks to their unique structural features such as large ion-accessible surface area and interconnected porous networks,thus enhancing both ions and electrons transport.Here,sustainable bacterial cellulose(BC)is used both precursor and template for facile synthesis of free-standing N,S-codoped 3Dcarbon networks(a-NSC)by the pyrolysis and activation of polyrhodanine coated BC.The synthesized a-NSC shows highly conductive interconnected porous networks(24S·cm~(-1)),large surface area(1 420m~2·g~(-1))with hierarchical meso-microporosity,and high-level heteroatoms codoping(N:3.1%in atom,S:3.2%in atom).Benefitting from these,a-NSC as binder-free electrode exhibits an ultrahigh specific capacitance of 340F·g~(-1)(24μF·cm~(-2))at the current density of 0.5A·g~(-1)in 6MKOH electrolyte,high-rate capability(71%at 20A·g~(-1))and excellent cycle stability.Furthermore,the assembled symmetrical supercapacitor displays a much short time constant of 0.35sin 1MTEABF4/AN electrolyte,obtaining a maximum energy density of 32.1W·h·kg~(-1 )at power density of 637W·kg~(-1).The in situ multi-heteroatoms doping enables biocellulose-derived carbon networks to exploit its full potentials in energy storage applications,which can be extended to other dimensional carbon nanostructures.