基于遗传算法的凸多边形区域航迹规划

提出了基于遗传算法的凸多边形区域航迹规划方法,针对飞行器转弯角和边界限制的航迹约束条件,改进了航迹编码方式,采用了基于方向编码的回溯方法生成航迹;同时改进了遗传算法的交叉算子和变异算子。仿真结果表明,该方法能快速有效地完成飞行器航迹规划任务,获得符合适应度要求的优化航迹。     

含低速冲击损伤层合板的压缩破坏研究

层合板低速冲击后的压缩破坏研究对于复合材料结构设计具有重要意义.按照ASTM D 7136、D 7137试验标准对CCF300/5228层合板进行低速冲击和压缩试验;基于累积损伤理论,以低速冲击数值仿真得到的损伤作为初始损伤,结合应变失效准则和材料性能退化方法,建立含低速冲击损伤层合板的压缩破坏分析模型;使用该模型研究CCF300/5228层合板的损伤演化过程和剩余压缩强度.结果表明：该模型能够较好地解释试验过程中的损伤现象,预测含冲击损伤层合板的剩余压缩强度;损伤扩展和破坏模式与试验结果一致性好.     

Novel passive localization algorithm based on double side matrix-restricted total least squares

In order to solve the bearings-only passive localization problem in the presence of erroneous observer position, a novel algorithm based on double side matrix-restricted total least squares (DSMRTLS) is proposed. First, the aforementioned passive localization problem is transferred to the DSMRTLS problem by deriving a multiplicative structure for both the observation matrix and the observation vector. Second, the corresponding optimization problem of the DSMRTLS problem without constraint is derived, which can be approximated as the generalized Rayleigh quotient minimization problem. Then, the localization solution which is globally optimal and asymptotically unbiased can be got by generalized eigenvalue decomposition. Simulation results verify the rationality of the approximation and the good performance of the proposed algorithm compared with several typical algorithms.     

基于MBD技术检验规程在飞机数字化装配中的应用

针对基于MBD技术的飞机数字化装配技术的大量应用,分析了传统检验模式在MBD技术环境中存在的问题和不足,提出基于MBD技术的检验规程,结合实际工作探讨了基于MBD技术编制检验规程的方法,并给出了解决其关键技术问题的方法。     

基于混沌和LWT-SVD的盲信息隐藏算法

为了提高秘密信息的安全性和鲁棒性,将混沌、提升小波变换（LWT）和奇异值分解（SVD）结合,提出一种盲信息隐藏算法。首先将要隐藏的秘密图像用混沌序列进行加密;然后对载体图像进行提升小波变换,并对低频子带进行分块奇异值分解;最后根据最大奇异值最高位的奇偶性将已加密的秘密图像进行隐藏。提取秘密图像时,不需要载体图像。仿真实验表明,该算法隐蔽性好,对加噪、滤波、旋转、剪切、缩放和JPEG压缩等攻击具有良好的鲁棒性。     

“订单式”人才培养模式探究

订单式教学模式是高职教育发展的需要,是高职教育教学模式改革的方向。介绍两种订单式教学模式的形式,探讨了订单式教学模式运行中存在的主要问题及解决办法,以期对订单式人才培养的全方位开展发挥一定的参考作用。     

Monitoring of rice cropping intensity in the upper Mekong Delta,Vietnam using time-series MODIS data

Information on rice growing areas is important for policymakers to devise agricultural plans. This research explores the monitoring of rice cropping intensity in the upper Mekong Delta, Vietnam (from 2001 to 2007) using time-series MODIS NDVI 250-m data. Data processing includes three steps: (1) noise is filtered from the time-series NDVI data using empirical mode decomposition (EMD); (2) endmembers are extracted from the filtered time-series data and trained in a linear mixture model (LMM) for classification of rice cropping systems; and (3) classification results are verified by comparing them with the ground-truth and statistical data. The results indicate that EMD is a good filter for noise removal from the time-series data. The classification results confirm the validity of LMM, giving an overall accuracy of 90.1% and a Kappa coefficient of 0.7. The lowest producer and user accuracies were associated with single crop rain-fed rice class due to the mixed pixel problems. A strong yearly correlation at the district level was revealed in the MODIS-derived areas (R² ? 0.9). Investigation of interannual changes in rice cropping intensity from 2001 to 2007 showed a remarkable conversion from double to triple crop irrigated rice from 2001 to 2003, especially in the Thoai Son and Phu Tan districts. A big conversion from triple crop rice back to double crop rice cultivation was also observed in Phu Tan from 2005 to 2006. These changes were verified by visual interpretation of Landsat images and examination of NDVI profiles.     

Longitudinal variations of the ionospheric trough position

For the first time a comprehensive pattern of the longitudinal effect of the ionospheric trough position was obtained. We present new results with longitudinal variations of the winter trough position as a function of geomagnetic latitude for both hemispheres and conditions of high and low solar activity and all local time hours. We used a large observational data set obtained onboard the Kosmos-900, Interkosmos-19 and CHAMP satellites for quiet geomagnetic conditions. We found that a magnitude of the trough position longitudinal effect averaged for a fixed local time is greater in the daytime (6–8°) than in the nighttime (3–5°). The longitudinal effect magnitude reaches its maximum (16°) in the morning (at 08 LT) in the Southern hemisphere at high solar activity. But on certain days at any solar activity the longitudinal effect magnitude can reach 9–10° even at night. The shape of the longitudinal effect was found to differ significantly in two hemispheres. In the Northern hemisphere the trough is usually closest to the pole in the eastern (American) longitudinal sector, and in the Southern hemisphere the trough is closest in the western (Eurasian) longitudinal sector. The magnitude and shape of the longitudinal effect is also different during low and high solar activity. The Global Self-consistent Model of the Thermosphere, Ionosphere, and Protonosphere (GSM TIP) simulations demonstrate that during low solar activity, the longitudinal variations of the daytime trough position is mainly determined by longitudinal variations of the ionization function, formed due to the longitudinal variations in the solar zenith angle and the atomic oxygen density distribution. The longitudinal variations of the nighttime trough position is formed by the longitudinal variations in ionization of precipitating auroral particles, neutral atmosphere composition, and electric field.     

空间核电源电力系统功率因数校正技术的研究

为满足我国未来深空探测、星表基地等空间任务电源系统的需求,通过采用基于空间核电源系统的功率因数校正技术来滤除和抑制由发电机产生的谐波,从而提高系统的用电效率。提出一种新型Boost PFC拓扑结构,首先分析变换器的工作原理,之后对工作在连续电流导通模式下的Boost变换器进行建模分析。通过对变换器双环控制中的电压环和电流环进行理论设计和数学推导,从而确定控制环路参数。采用PLECS仿真软件对变换器的控制策略和系统的动态响应进行验证,并实现输入电流对输入电压的零相位正弦化追踪。     

基于模糊径向基函数神经网络的永磁同步电机滑模观测器设计

针对传统滑模控制易导致系统出现抖振的问题,提出了一种模糊径向基函数(RBF)神经网络滑模观测器来实现永磁同步电机(PMSM)无传感器控制。为了减小观测器系统抖振,利用模糊RBF神经网络算法动态调整滑模增益,并采用李雅普诺夫稳定性定理证明了该模糊神经网络观测器的稳定性；利用锁相环(PLL)技术提高估算精度,并削弱计算噪声。基于MATLAB/Simulink软件平台搭建了仿真模型,将模糊RBF神经网络滑模观测器系统与传统滑模观测系统进行对比。结果表明,与传统的滑模观测器相比,新型滑模观测器能够快速、有效地跟踪转子位置,精确估算出转子速度,同时具有较好的动态特性。