STOCHASTIC NEURAL NETWORK AND ITS APPLICATION TO MULTI－MANEUVERING TARGET TRACKING

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A novel variable-lag probability hypothesis density smoother for multi-target tracking

It is understood that the forward-backward probability hypothesis density (PHD) smoothing algorithms proposed recently can significantly improve state estimation of targets. However, our analyses in this paper show that they cannot give a good cardinality (i.e., the number of targets) estimate. This is because backward smoothing ignores the effect of temporary track drop- ping caused by forward filtering and/or anomalous smoothing resulted from deaths of targets. To cope with such a problem, a novel PHD smoothing algorithm, called the variable-lag PHD smoother, in which a detection process used to identify whether the filtered cardinality varies within the smooth lag is added before backward smoothing, is developed here. The analytical results show that the proposed smoother can almost eliminate the influences of temporary track dropping and anomalous smoothing, while both the cardinality and the state estimations can significantly be improved. Simulation results on two multi-target tracking scenarios verify the effectiveness of the proposed smoother.     

低仰角大气折射误差对初轨精度的影响分析

针对在交会对接任务中测量船使用的电波折射经验模型存在低仰角跟踪测量修正精度差的问题提出改进思路,在模型中引入基于天顶延迟的拟合算法优化修正模型,提高了船载雷达低仰角跟踪时距离的修正精度,满足了测量船数据处理的精度需求。用新方法处理数据,计算的轨道根数半长轴外符合误差平均降低了605m,有效提高了测量船定轨精度。     

基于终端滑模的航天器自适应预设性能姿态跟踪控制

针对航天器姿态跟踪控制的快速性需求,提出一类自适应终端滑模有限时间控制方法,通过引入饱和函数解决了终端滑模控制器的奇异问题,并结合实际有限时间稳定概念显式地给出了系统状态收敛时间和收敛范围之间的对应关系;为在提高系统鲁棒性的同时避免控制器抖振,设计了一种新型自适应律估计并补偿未知环境干扰。进一步地,针对如遥感卫星对地扫描成像等姿态跟踪任务中存在的状态约束问题,通过在控制器中引入具有对数形式的预设性能项,使系统滑模面响应具有期望的动态过程,约束了航天器姿态跟踪误差及其一阶导数的变化范围。仿真结果表明,设计的控制器具有较高的控制精度和响应速度,满足实际任务对状态约束的需求,且其控制输出不存在奇异和抖振,具备良好的工程应用价值。     

基于神经网络的机动目标信息融合与并行自适应跟踪

基于“当前”统计模型和 BP神经网络 ,提出一种新的机动目标神经网络信息融合与并行自适应跟踪算法 ( NIFPAT)。该算法采用双滤波器并行结构 ,利用全状态反馈 ,通过 BP网络调整系统方差以适应目标的运动变化 ,具有对目标各种运动状态的良好自适应跟踪能力     

激光跟踪测量系统

介绍了激光跟踪测量系统的组成、工作原理、测量方法,并就其使用中应注意的问题作了阐述.     

Trajectory Tracking Control for a GMM Actuator Based on a Heuristic ILC Method

A heuristic iterative learning control (ILC) method is presented and applied to the trajectory tracking control of a giant magne-tostrictive material (GMM) actuator. A GMM actuator is used as experimental equipment for micro-displacement trajectory tracking control. The advantage of the presented approach lies in quitting the model of the GMM actuator. The experimental results attest to the high efficiency of the presented method for the micro-displacement trajectory tracking control.     

具有最大功率点跟踪功能的双输入反激DC/DC变换器

采用双输入反激DC/DC变换器实现了太阳能电池和市电两种能源对负载的稳定供电,根据各种太阳能电池的特点,提出了双输入反激DC/DC变换器的控制策略:一方面使太阳能电池工作在最优状态,实现输出最大功率点跟踪,提高太阳能的利用率;另一方面当负载变化以及太阳能电池输出能量不足时可以从市电获取足够的能量以保证输出电压的稳定.最后通过仿真与实验,验证了本方案的可行性.     

飞机横航向飞行品质地面模拟试验

给出了飞机空间全姿态运动方程和发动机推力的数学模型；介绍了飞机横航向飞行品质指标的计算方法并进行了计算，其结果与作图法的结果相比误差较小，表明计算方法正确、可靠。同时还讨论了目标瞄准设计的基本原理。最后提出了飞机飞行品质指标的五种试验方法，通过模拟试验，证明所提出的试验方法正确、有效，可用于飞机飞行品质的研究，对飞机设计和其它飞行试验课题也有参考价值。