Upscaled DEM-CFD model for vibrated fluidized bed based on particle-scale similarities

Simulation based on discrete element method (DEM) coupled with computational fluid dynamics (CFD), coupled DEM-CFD, is a powerful tool for investigating the details of dense particle–fluid interaction problems such as in fluidized beds and pneumatic conveyers. The addition of a mechanical vibration to a system can drastically alter the particle and fluid flows; however, their detailed mechanisms are not well understood. In this study, a DEM-CFD model based on a non-inertial frame of reference is developed to achieve a better understanding of the influence of vibration in a vibrated fluidized bed. Because the high computational cost of DEM-CFD calculations is still a major problem, an upscaled coarse-graining model is also employed. To realize similar behaviors with enlarged model particles, non-dimensional parameters at the particle scale were deduced from the governing equations. The suitability and limitations of the proposed model were examined for a density segregation problem of a binary system. To reduce the computational costs, we show that the ratio between the bed width and model particle size can be reduced to a minimum value of 100; to obtain similar segregation behaviors, the ratio between the bed height and model particle size is considered unchanged.     

交通诱导室外LED显示屏有关问题之浅见

本文探讨了智能交通系统中交通诱导室外LED显示屏的使用功能,对交通诱导室外LED显示屏在实际应用中的有关问题发表了认识和看法。     

Exoatmospheric interception problem solved using output feedback law

Interception problems are often dealt with by separating guidance and autopilot design. Guidance law can be obtained using optimal control theory and autopilot design is performed on a linearized system. In this paper, we introduce a new approach that determines a global guidance and autopilot law, based on direct output feedback design. Application of this method to exoatmospheric interception problem results in good performances. Extension to endoatmospheric case is under investigation.     

惯性平台系统误差的自补偿

提高惯性平台使用精度的途径之一是和计算机实时补偿平台误差的系统分量。首先介绍了仪表和平台误差模型，重点讨论如何从３个含有测量误差，安装误差和基准漂移误差的加速度计输出信号中，分离出载体飞行加速沿制导坐标系三轴的分量。对由于惯性基准的漂移而上起的载体姿态角的测量误差也进行了分析。     

LTN-72惯导设备在空间遥感器航空校飞中的应用

介绍了一种用于空间遥感器航空校飞的LTN-72惯导参数采集与传输装置。该装置能模拟星上数据管理系统(OBDH)传递包括校飞时间和全部LTN-72惯导参数在内的辅助数据,并具有输出检测信号和自检显示功能。装置经实际校飞使用,效果良好。     

基于CDMA的停车场车位引导系统设计

本文介绍了基于CDMA的停车场车位引导系统的设计方案,阐述了系统软硬件设计、CDMA主要特点及接口电路图。该系统采用CDMA无线通信模块,使系统性能更加完善。实验结果表明本系统与485通信系统、CAN总线通信系统相比,通信距离和通信速率明显提高。本系统避免了一路出错导致整个系统瘫痪的问题,使停车场车位引导系统更加智能化。     

捷联惯性制导系统的电路设计

通过对捷联惯性制导与平台惯性制导之间差异的分析，讨论了在进行捷联惯性制导系统的电路设计时所应注意的问题，在此基础上，用C32 DSP和可编程逻辑器件，设计了一个捷联惯性制导系统的电路。     

用于高速旋转载体的惯性导航系统设计

针对高速旋转载体的实际应用情况,采用了无陀螺捷联惯性导航技术方案,快速精确测量载体的姿态、速度和位置信息。无陀螺捷联惯导系统采用加速度计来解算载体相对惯性系的角速度,从而代替角速度陀螺仪,提高了系统的高过载的适应能力。首先推导了一种基于六加速度计配置方式力学编排方程,分析了加速度计精度、杆臂长度以及时间等因素对角速度误差产生影响,最后仿真分析了加速度计精度对惯导系统的定位精度的影响,为系统设计提供理论依据。     

基于IMU与激光雷达紧耦合的混合匹配算法

针对线、面特征匹配的激光雷达测距与地图构建算法(Lightweight and Ground-Optimized Lidar Odometry And Mapping,LeGO-LOAM)在自动导引运输车(Automated Guided Vehicle,AGV)室内室外实时建图与定位时,易出现激光里程计累积误差大和旋转估计不准确等问题,本工作采用惯性测量单元(Inertial Measurement Unit,IMU)与激光雷达紧耦合的LeGO-LOAM算法,通过IMU为激光雷达提供的初始位姿信息,构建IMU与激光雷达联合误差函数,实现位姿共同迭代优化.其中,对于室外结构化信息较少时,在点对点的迭代最近点算法(Iterative Closest Point,ICP)较高定位精度的基础上,结合LeGO-LOAM算法和ICP算法互补性,进一步提出基于IMU与激光雷达紧耦合的混合匹配算法:当环境中结构信息较多时,激光里程计采用LeGO-LOAM算法,而当环境中结构化信息较少时采用ICP算法.实验结果表明,基于IMU与激光雷达紧耦合的混合匹配算法可有效降低激光里程计相对位姿误差和累积误差,提高AGV小车定位精度以消除部分地图重影.