空间激光通信系统光斑小目标跟踪算法研究

在空间激光通信链路中,大气湍流、结构设计误差、平台扰动等因素为链路的精确对准和精密跟踪带来了困难。为提高激光链路的跟踪精度,首先对光斑跟踪过程中的影响因素进行研究分析,继而对跟踪算法做出改进。针对跟踪目标特性,设计了一种自适应模板目标相关跟踪算法,并搭建了基于粗精复合轴跟踪系统的实验平台,开展了实验验证。结果表明：与当前常用跟踪算法相比,该设计处理速度可达 1 kfps,目标跟踪位置与真实位置基本重合,目标跟踪准确率高于98%,在处理速度、跟踪准确率与算法鲁棒性上均有较大提升,具有一定的实用性。     

Development,integrated investigation,laboratory and in-flight testing of Chibis-M microsatellite ADCS

Design, analytical investigation, laboratory and in-flight testing of the attitude determination and control system (ADCS) of a microsatellites are considered. The system consists of three pairs of reaction wheels, three magnetorquers, a set of Sun sensors, a three-axis magnetometer and a control unit. The ADCS is designed for a small 10–50 kg LEO satellite. System development is accomplished in several steps: satellite dynamics preliminary study using asymptotical and numerical techniques, hardware and software design, laboratory testing of each actuator and sensor and the whole ADCS. Laboratory verification is carried out on the specially designed test-bench.In-flight ADCS exploitation results onboard the Russian microsatellite “Chibis-M” are presented. The satellite was developed, designed and manufactured by the Institute of Space Research of RAS. “Chibis-M” was launched by the “Progress-13M” cargo vehicle on January 25, 2012 after undocking from the International Space Station (ISS). This paper assess both the satellite and the ADCS mock-up dynamics. Analytical, numerical and laboratory study results are in good correspondence with in-flight data.     

Reliable flight performance assessment of multirotor based on interacting multiple model particle filter and health degree

Multirotor has been applied to many military and civilian mission scenarios. From the perspective of reliability, it is difficult to ensure that multirotors do not generate hardware and software failures or performance anomalies during the flight process. These failures and anomalies may result in mission interruptions, crashes, and even threats to the lives and property of human beings. Thus, the study of flight reliability problems of multirotors is conductive to the development of the drone industry and has theoretical significance and engineering value. This paper proposes a reliable flight performance assessment method of multirotors based on an Interacting Multiple Model Particle Filter (IMMPF) algorithm and health degree as the performance indicator. First, the multirotor is modeled by the Stochastic Hybrid System (SHS) model, and the problem of reliable flight performance assessment is formulated. In order to solve the problem, the IMMPF algorithm is presented to estimate the real-time probability distribution of hybrid state of the established SHS-based multirotor model, since it can decrease estimation errors compared with the standard interacting multiple model algorithm based on extended Kalman filter. Then, the reliable flight performance is assessed with health degree based on the estimation result. Finally, a case study of a multirotor suffering from sensor anomalies is presented to validate the effectiveness of the proposed method.     

Innovation and change? The evolution of Europe's small satellite manufacturers

Since the 1980s a trend has emerged to contain the cost of space missions, which has favored trials in the construction and launch of small satellites. This effort has considerably reduced the cost of the satellites because the construction process uses both traditional components and important technological innovations. There have also been market openings for small satellites, both within the telecommunication sector and for scientific missions and those related to Earth observation. This paper contains the results of a survey of the largest manufacturers of small satellites in Europe and investigates how far (if at all) they have changed the structure of the European space industry. It finds that, through the acquisition of small satellite manufacturers, traditional large companies operating in the field of space in Europe have secured for themselves important technological innovations and market opportunities, while maintaining their oligopolistic position.     

Vision-based bio-inspired guidance law for small aerial vehicle

During predation, a flying insect can form a stealth flight path. This behavior is called motion camouflage. Based on the study results of this behavior, the perception and neurology of flying insects, a novel bio-inspired guidance law is proposed for the terminal guidance for small aerial vehicle with charge-coupled device imaging seekers. The kinematics relationship between a small aerial vehicle and target is analyzed, and a two-dimensional guidance law model is established by using artificial neural networks. To compare with the proportional guidance law, the numerical simulations are carried out in the vertical plane and in the horizontal plane respectively. The simulation results show that the ballistic of the small aerial vehicle is straighter and the normal acceleration is smaller by using the bio-inspired guidance law than by using the proportional guidance law. That is to say, the bio-inspired guidance law just uses the information of the target from the imaging seeker,but the performance of it can be better than that of the proportional guidance law.     

Gray bootstrap method for estimating frequency-varying random vibration signals with small samples

During environment testing, the estimation of random vibration signals （RVS） is an important technique for the airborne platform safety and reliability. However, the available meth- ods including extreme value envelope method （EVEM）, statistical tolerances method （STM） and improved statistical tolerance method （ISTM） require large samples and typical probability distri- bution. Moreover, the frequency-varying characteristic of RVS is usually not taken into account. Gray bootstrap method （GBM） is proposed to solve the problem of estimating frequency-varying RVS with small samples. Firstly, the estimated indexes are obtained including the estimated inter- val, the estimated uncertainty, the estimated value, the estimated error and estimated reliability. In addition, GBM is applied to estimating the single flight testing of certain aircraft. At last, in order to evaluate the estimated performance, GBM is compared with bootstrap method （BM） and gray method （GM） in testing analysis. The result shows that GBM has superiority for estimating dynamic signals with small samples and estimated reliability is proved to be 100% at the given confidence level.     

Optimization of beamforming and path planning for UAV-assisted wireless relay networks

Recently, unmanned aerial vehicles （UAVs） acting as relay platforms have attracted considerable attention due to the advantages of extending coverage and improving connectivity for long-range communications. Specifically, in the scenario where the access point （AP） is mobile, a UAV needs to find an efficient path to guarantee the connectivity of the relay link. Motivated by this fact, this paper proposes an optimal design for beamforming （BF） and UAV path planning. First of all, we study a dual-hop amplify-and-forward （AF） wireless relay network, in which a UAV is used as relay between a mobile AP and a fixed base station （BS）. In the network, both of the AP and the BS are equipped with multiple antennas, whereas the UAV has a single antenna. Then, we obtain the output signal~to-noise ratio （SNR） of the dual-hop relay network. Based on the criterion of maximizing the output SNR, we develop an optimal design to obtain the solution of the optimal BF weight vector and the UAV heading angle. Next, we derive the closed-form outage probability （OP） expression to investigate the performance of the dual-hop relay network conveniently. Finally, computer simulations show that the proposed approach can obtain nearly optimal flying path and OP performance, indicating the effectiveness of the proposed algorithm. Furthermore, we find that increasing the antenna number at the BS or the maximal heading angle can significantly improve the performance of the considered relay network.     

基于ANSYS的机翼动力学分析

针对无人机在挂载导弹飞行和发射导弹时,无人机机翼由于受到多种载荷影响所产生的应力应变,应用ANSYS软件动力学分析,计算模拟了机翼在受到多种载荷影响时所产生的应力分布和应变量。分析结果表明,由于外挂物重量和机翼周围气动流场的影响,机翼会产生不同程度的颤振和扭转,其研究结果对合理设计机翼结构具有一定的参考意义。     

牵制缓释放过程中火箭动力响应特性分析

为研究运载火箭在牵制缓释放过程中的结构动力响应特性,将牵制缓释放发射过程依次分为静态竖立、点火牵制和缓释放三个阶段进行计算。运用MSC.Patran有限元程序的场功能来实现上一阶段的全部计算结果场向下一阶段初始条件场的传递,运用MSC.Nastran有限元程序的非线性弹簧单元的非线性位移载荷函数功能来模拟运载火箭缓释放过程中的缓释力,实现运载火箭牵制缓释放过程结构动力响应的数值计算,并对比分析运载火箭几种常用发射释放方式的结构动力响应特性。结果表明:采用牵制缓释放系统可有效减小运载火箭释放时所受冲击载荷,减小运载火箭全箭结构动力响应。     

航天器总装过程特种车辆运输问题的研究

文章针对航天器总装过程所涉及的特种车辆转运问题进行研究。通过对特种车辆种类和航天器各平台总装涉及特种车辆数量分析,提出集装箱运输方案并对集装箱进行设计、实施,取得了良好效果,同时指出集装箱化运输也是航天器工装运输的趋势。