拖影情况下快速飞行乒乓球体的实时识别与跟踪

快速飞行的乒乓球在图像采集过程中会产生拖影,影响甚至严重干扰对球体位置的准确识别和跟踪.对飞行乒乓球的拖影图像特点及实战型乒乓机器人的实际需求进行分析,在此基础上提出CS-BS-EF方法,将色彩分割、背景减除、椭圆拟合进行综合集成、优势互补,用以检测飞行球体的拖影范围并求取球心位置.实验结果表明该方法能够有效克服拖影影响,比较准确地识别和跟踪高速飞行的球体,且具有良好的抗干扰性、实时性.     

中性浮力和失重环境人体运动仿真比较研究

为了模拟失重状态,航天技术发达的国家都建立了用于航天员出舱活动训练的中性浮力水槽。但与太空失重环境相比,水中存在的水动阻力会导致两种环境下人体运动反馈的差异性。基于ADAMS多体动力学仿真软件,按照“飞天”舱外航天服的质量分布,建立了着舱外服人体动力学模型。利用此模型仿真比较了水下和失重环境中肘关节屈伸、肩内收外展、肩矢状面内运动时人体躯干的动力学反馈,发现水下环境中模型躯干的转动速度峰值和平均值均较大。研究结果已应用于神舟七号载人飞行任务出舱活动航天员训练,建立的航天员人体动力学模型可应用于我国未来空间站任务出舱活动仿真分析。     

基于子孔径处理的大斜视SAR点目标仿真

机载合成孔径雷达(SAR)平台无法在长合成孔径时间内保持理想匀速直线运动,运动参数变化较大。利用全孔径算法进行成像处理,难以高效地生成聚焦良好的图像。针对这些问题,本文通过在回波信号方位向划分子孔径,分段处理,从而得到聚焦良好的图像。为增强适用性,子孔径处理时采用大斜视角下的距离多普勒(RD)算法,同时与传统正侧视及小斜视RD算法比较。经仿真验证:无论在大斜视情况下还是在有运动误差的情况下,本文算法都能使点目标良好聚焦,点散布函数的分布显示旁瓣均低于-20 dB,满足工程使用要求,说明了算法的有效性。     

舷外有源诱饵降落伞载荷运动仿真

对火箭发射降落伞悬降方式的舷外有源诱饵的载荷运动进行了分析。在此分析的基础上,通过在2个正交铅垂平面上的分解,建立了载荷运动的数学模型,描述了在2个正交铅垂平面上降落伞—载荷连线相对于铅垂线的角运动。利用Simulink进行了单个铅垂平面上的角运动的仿真和2个正交铅垂平面上的角运动的综合仿真。     

靶场GNSS增强、监测与评估系统建设构想

针对靶场GNSS（全球导航卫星系统）增强、监测与评估的测量精度和可靠性保障、异常分析和电磁环境监测等复杂技术需求,明确了靶场GNSS增强、监测与评估的概念,分析了各类方法的特点,确定了以大范围基准站网为主干,采用广域差分增强和地面完好性通道监测满足提高测量精度和可靠性主要需求,采用车载信号监测和干扰监测一体化系统满足不同区域间发的异常分析和电磁环境监测需求的技术路线.设计了系统体系架构,重点分析了系统实时工作模式和数据处理流程,为系统建设提供了有益的参考.     

Friction compensation for low velocity control of hydraulic flight motion simulator: A simple adaptive robust approach

Low-velocity tracking capability is a key performance of flight motion simulator (FMS), which is mainly affected by the nonlinear friction force. Though many compensation schemes with ad hoc friction models have been proposed, this paper deals with low-velocity control without friction model, since it is easy to be implemented in practice. Firstly, a nonlinear model of the FMS middle frame, which is driven by a hydraulic rotary actuator, is built. Noting that in the low velocity region, the unmodeled friction force is mainly characterized by a changing-slowly part, thus a simple adaptive law can be employed to learn this changing-slowly part and compensate it. To guarantee the boundedness of adaptation process, a discontinuous projection is utilized and then a robust scheme is proposed. The controller achieves a prescribed output tracking transient performance and final tracking accuracy in general while obtaining asymptotic output tracking in the absence of modeling errors. In addition, a saturated projection adaptive scheme is proposed to improve the globally learning capability when the velocity becomes large, which might make the previous proposed projection-based adaptive law be unstable. Theoretical and extensive experimental results are obtained to verify the high-performance nature of the proposed adaptive robust control strategy.     

Receiver-channel based adaptive blind equalization approach for GPS dynamic multipath mitigation

Aiming at mitigating multipath effect in dynamic global positioning system (GPS) satellite navigation applications, an approach based on channel blind equalization and real-time recursive least square (RLS) algorithm is proposed, which is an application of the wireless communication channel equalization theory to GPS receiver tracking loops. The blind equalization mechanism builds upon the detection of the correlation distortion due to multipath channels; therefore an increase in the number of correlator channels is required compared with conventional GPS receivers. An adaptive estimator based on the real-time RLS algorithm is designed for dynamic estimation of multipath channel response. Then, the code and carrier phase receiver tracking errors are compensated by removing the estimated multipath components from the correlators’ outputs. To demonstrate the capabilities of the proposed approach, this technique is integrated into a GPS software receiver connected to a navigation satellite signal simulator, thus simulations under controlled dynamic multipath scenarios can be carried out. Simulation results show that in a dynamic and fairly severe multipath environment, the proposed approach achieves simultaneously instantaneous accurate multipath channel estimation and significant multipath tracking errors reduction in both code delay and carrier phase.     

Modelling of air temperature using remote sensing and artificial neural network in Turkey

The aim of this research was to forecast monthly mean air temperature based on remote sensing and artificial neural network (ANN) data by using twenty cities over Turkey. ANN contained an input layer, hidden layer and an output layer. While city, month, altitude, latitude, longitude, monthly mean land surface temperatures were chosen as inputs, and monthly mean air temperature was chosen as output for network. Levenberg–Marquardt (LM) learning algorithms and tansig, logsig and linear transfer functions were used in the network. The data of Turkish State Meteorological Service (TSMS) and Technological Research Council of Turkey–Bilten for the period from 1995 to 2004 were chosen as training when the data of 2005 year were being used as test. Result of research was evaluated according to statistical rules. The best linear correlation coefficient (R), and root mean squared error (RMSE) between the estimated and measured values for monthly mean air temperature with ANN and remote sensing method were found to be 0.991–1.254 K, respectively.     

面向海洋机动目标跟踪监视的卫星重构组网优化与仿真

摘要： 针对海洋机动目标跟踪监视问题，提出通过卫星相位重构调整进行机动目标搜索跟踪的监视策略，构建地理坐标系下机动目标航位预测模型及基于霍曼转移的卫星调相组网方式，并采用NSGA II算法进行优化求解，对比分析卫星重构组网前后的机动目标发现概率.仿真结果表明：在卫星能量消耗允许范围内进行重构组网，能够有效提升对机动目标的发现概率，为海洋机动目标的搜索跟踪问题提供了一定的方法支持.     

An experimental method for squealer tip flow field considering relative casing motion

Squealer tip is widely used in turbines to reduce tip leakage loss. In typical turbine environment, the squealer tip leakage flow is affected by multiple factors such as the relative casing motion and the wide range of variable incidence angles. The development of experimental methods which can accurately model the real turbine environment and influencing factors is of great significance to study the squealer tip leakage flow mechanism. In the present paper, a low-speed turbine cascade test facility which can model the relative casing motion and wide range of variable incidence angles (−25° to 55°) is built. Based on the similarity criteria, a high-low speed similarity transformation method of the turbine cascade is established by considering the thickness of the turbine blade. A combined testing method of Particle Image Velocimetry (PIV) and local pressure measurement is proposed to obtain the complex flow structures within the tip cavity. The results show that the experimental method can successfully model the relative casing motion and the wide range of variable incidence angles. The low-speed cascade obtained by the similarity transformation can model the high-speed flow accurately. The measurement technique developed can obtain the complex flow field and successfully capture the scraping vortex within the squealer tip.