车载红外图像的行人检测与跟踪技术

针对车载红外图像的特点,采用基于区域估计的帧差法实现车载红外图像中的行人检测,再通过行人的几何特征和运动速率特征进行行人的识别,最后运用轮廓矩匹配算法进行行人的跟踪。实验结果表明所采用的方法具有较好的行人检测及跟踪效果。     

煤矿绞车轨道外形磨损CCD监测系统

针对矿井绞车轨道磨耗动态检测问题,构建了由线状光源、CCD、高速图像处理子系统等组成的系统。文中定义了高速图像处理各个模块的功能。对于磨耗图像的获得和特征点提取,采用CSS特征点检测算法来实现,并给出了磨耗值计算相关问题。初步试验表明系统检测误差在可接受范围内。     

电动汽车用超级储能电容试验方法研究

超级电容己成为世界各国竞相研究的热点,为加速我国电动车用超级电容器的应用,文中通过对电动汽车用超级储能电容进行容量、循环工况、温度特性、循环寿命、恒功率放电、大电流恒流放电等一系列试验方法研究,并对电动车用储能电容进行充放电仿真实验,估算了其漏电电流,建立了一套适用于电动汽车用超级储能电容的试验规范。     

Real-time predictive control strategy for a plug-in hybrid electric powertrain

Model predictive control is a promising approach to exploit the potentials of modern concepts and to fulfill the automotive requirements. Since, it is able to handle constrained multi-input multi-output optimal control problems. However, when it comes to implementation, the MPC computational effort may cause a concern for real-time applications. To maintain the advantage of a predictive control approach and improve its implementation speed, we can solve the problem parametrically. In this paper, we design a power management strategy for a Toyota Prius plug-in hybrid powertrain (PHEV) using explicit model predictive control (eMPC) based on a new control-oriented model to improve the real-time implementation performance. By implementing the controller to a PHEV model through model and hardware-in-the-loop simulation, we get promising fuel economy as well as real-time simulation speed.     

Multiple Emitters Localization by UAV with Nested Linear Array: System Scheme and 2D-DOA Estimation Algorithm

Unmanned Aerial Vehicle(UAV)equipped with uniform linear array has been applied to multiple emitters localization.Meanwhile,nested linear array enables to enhance localization resolution and achieve under-determined Direction of Arrival(DOA)estimation.In this paper,we propose a new system structure for emitters localization that combines the UAV with nested linear array,which is capable of significantly increasing the positioning accuracy of interested targets.Specifically,a localization scheme is designed to obtain the paired two-dimensional DOA(2D-DOA,i.e.azimuth and elevation angles)estimates of emitters by nested linear array with UAV.Furthermore,we propose an improved DOA estimation algorithm for emitters localization that utilizes Discrete Fourier Transform(DFT)method to obtain coarse DOA estimates,subsequently,achieve the fine DOA estimates by sparse representation.The proposed algorithm has lower computational complexity because the coarse DOA estimates enable to shrink the range of over-complete dictionary of sparse representation.In addition,compared to traditional uniform linear array,improved 2D-DOA estimation performance of emitters can be obtained with a nested linear array.Extensive simulation results testify the effectiveness of the proposed method.     

不确定信息下基于拍卖算法的多无人机同时到达攻击多目标

针对不确定信息下的多无人机同时到达攻击多目标的控制策略问题,将拍卖算法和区间一致性算法相结合,提出了不确定信息下的多无人机同时到达的控制方法。首先通过拍卖算法,给出了多无人机对多目标的任务分配方法;然后定义了区间一致性算法,提出了不确定信息下的多无人机同时到达的控制方法,实现了多无人机到达多目标的时间上趋于一致;最后进行仿真,验证了该方法的可行性和有效性。     

共振多光子电离探测芳香烃污染物对比实验研究

本文用两种不同的方法对同期制备的不同浓度的苯、甲苯、二甲苯及其混合气和摩托车尾气三类样品分别进行了对比实验,实验验证了多光子电离所得实验数据的可靠性及其测量精确性,同时可以看出多光子电离方法所具有的快速、实时在线和多组分同时探测的优越性。     

坦克装甲车辆技术发展新动向和发展重点

论述了美国终止未来战斗系统(FCS)项目后,世界坦克装甲车辆技术发展的新动向,并结合我国相关的技术发展实际情况针对性地提出了一些发展重点建议.     

车辆智能悬挂发展现状与研究思路探讨

在分析车辆各类智能悬挂系统实现方案及技术特点的基础上,提出了基于路面预瞄的电磁混合悬挂技术是未来车辆智能悬挂技术的发展方向与研究主线,而路面不平度预瞄技术-电磁混合悬挂技术-复合控制方法与高效算法是车辆智能悬挂走向实用必须克服的3个关键技术.     

高超声速飞行器H_∞鲁棒跟踪控制研究

针对高超声速飞行器巡航飞行控制问题,提出一种基于H∞的鲁棒控制方法。建立基于平衡点的线性不确定模型,将轨迹跟踪问题转换为一类H∞控制问题。在状态和控制输入不确定项满足匹配条件下,基于鲁棒稳定理论和线性矩阵不等式技术,推导出满足闭环系统内部稳定且满足一定控制性能的反馈增益选取条件。通过对非线性多变量高超声速飞行器纵向模型的轨迹跟踪仿真表明,所研究的控制方法可以确保对速度和高度指令的响应效果,并对模型中存在的参数摄动具有鲁棒性。