At present, the emergency search Unmanned Aerial Vehicle (UAV) cluster has problems such as low search efficiency, low coverage integrity, and poor stability of multi-unit network. In this regard, a terminalrouting UAV area search task planning strategy based on Optimized Fuzzy C-Means Algorithm (O-FCMA) combined with Optimize-Hybrid Particle Swarm Optimization (O-HPSO) algorithm is proposed. Based on the scope of UAV monitoring area, by establishing the spatial model of the search area, this paper further uses 0FCMA to divide the area geometrically, and uses O-HPSO to realize the path planning in the divided area, so as to realize the planning of the overall task of multi-UAV cluster search. The simulation experiment is performed. The use of O-HPSO combined with O-FCMA for passive UAV area search task is compared with ACO or simulated annealing algorithm combined with K clustering algorithm or FCMA, under the condition of ensuring the full coverage of the search area, active search compared with non-active UAV, the UAV decision time is reduced by 7%similar to 21%, 16%similar to 31%, and the search efficiency is increased by 7%similar to 13%, 3%similar to 7%. The method reduces effectively the UAV cluster decision time and improves the search efficiency.

针对超宽带(UWB)技术在AGV室内定位方面数据传输受多径效应干扰大且非视距影响严重、传统测距算法测量得出的结果无法避免算法运行和硬件响应时间带来的误差等问题,提出一种基于神经网络预测的双边定位算法.首先在单边双向测距模型的基础上引入双边双向测距模型,其次采集非视距条件下的测距误差序列,并输入反向传输神经网络预测模型中,得到定位标签的误差改正值,最后引入回归方程系数和中位值滤波算法对改正值进行修正.通过对比实验可知,引入回归方程系数和中位值滤波算法后,视距测距可以将平均误差控制在5 cm以内,非视距中基于神经网络预测方法得出的定位坐标的相对欧氏距离比基于多面函数拟合模型方法缩小了10 cm左右,精度更高.

对于一个农田占地面积大,灌溉用水量少的农业国而言,高效用水影响着农业的稳步发展;针对这一现象,提出一种基于模糊RBF神经网络的灌溉策略,将隐层的输出函数构成一组基来逼近目标函数,预测出灌溉的需水量,并用模糊控制计算出具体的灌溉时间;以山西省忻州地区种植的玉米利合328号为例,对气象条件、土壤条件以及作物特性进行分析,可以根据不同环境计算出灌溉时间;对大田采取高效、实时的灌溉策略,不仅可以提高灌溉用水的利用率,还可以为大田灌溉的发展奠定基础,增加了作物的产量.

姿态估计是多旋翼飞行控制的基础,为实现多旋翼三轴姿态估计,构建了基于MEMS陀螺、加速度计和磁力计的低成本姿态测量系统.该系统采用STM32F103作为控制器,集成加速度计和陀螺仪MPU6050,磁强计HMC5883作为测量传感器.针对多旋翼飞行器单一传感器无法准确测量姿态信息的问题,提出了基于无迹卡尔曼滤波信息融合的姿态估计算法.以陀螺仪为状态矢量,加速度计和磁强计解算的姿态角为观测矢量,无迹卡尔曼滤波器将陀螺的良好动态性能与加速度计、磁强计的良好静态性能结合起来,提高姿态测量精度,具有良好的动态跟踪性能.通过飞行测试,与高性能成品飞行器的姿态信息做对比,验证和分析该低成本姿态测量系统的有效性.实验结果表明,基于无迹卡尔曼滤波的姿态测量系统实现了动态环境下低成本多旋翼的精密姿态测量,为无人机自主飞行控制奠定了基础.

四旋翼无人机因其简单易用性被应用于航空摄影、天气监测、交通监控、军事监视和地球科学等领域,可以配备摄像头和各种传感器按照既定轨迹飞行,来准确执行许多复杂的任务.通过四旋翼飞行器系统刚体运动学建模及模型线性化处理,针对速度和姿态角较小时的轨迹跟踪问题,设计了级联双闭环比例-积分-微分(proportional-integral-derivative,PID)控制器.利用Simulink对所设计模型进行仿真分析,验证了定点悬停和平面正弦轨迹跟踪性能.仿真结果表明:基于小角度假设条件下,所设计PID控制系统可以有效地完成四旋翼飞行器的既定轨迹跟踪.最后通过实物飞行测试,验证了控制算法的有效性.

为实现宽频噪声的控制,提出一种兼有Helmholtz共振和弹簧质量系统共振的声学超材料及其控制方法.将双局域共振系统等效为两个弹簧质量系统的串联,理论计算结果表明双局域共振声学超材料能够产生两个局域共振带隙,有限元仿真验证了所建立数学模型的正确性.在对比分析共振腔腔体体积和薄膜张力对系统传递损失影响的基础上,选择通过气压调整薄膜张力实现系统传递损失的控制.实验结果表明:当驱动气压从0增加至2 kPa时,系统传递损失第一个峰值基本保持不变,第二个峰值向高频偏移150 Hz.所设计的局域共振型声学超材料在带隙范围内对低频噪声具有良好的控制效果,为宽频噪声自适应控制提供了一种方法.

为了解决旋转倒立摆在理论建模与工程应用之间存在偏差的问题,提出一种基于Matlab虚拟仿真与试验数据相结合的建模方法,并使用实物验证模型建立的有效性.通过Solidworks与Matlab连接得到倒立摆刚体模型,在SimMechan-ics内添加机电部分,线性化得到系统在不稳定平衡点的理想模型.在实物试验基础上辨识系统参数,得到仿真模型.在模型基础上研究了倒立摆的起摆与稳摆算法.试验结果表明,虚拟仿真模型可以直观显示与记录系统变量变化情况,与实物结构对比,整体响应与实际倒立摆差距很小.

探讨了几种无源炸点定位的方法,以获取炸点三维空间坐标信息.为了进一步提高定位精度,研究了基于多基阵概率密度的三基阵联合定位方法,使其探测距离达到上千米.该方法的定位方式根据单个基阵所测量的位置信息,计算目标位置在整个空间的概率分布最大点,把它作为目标的位置.就炸点角度、各个基阵的底面半径及立杆高度等因素对方位角和俯仰角误差的影响进行了仿真.仿真结果表明:这种方法定位精度较高,角度误差小于1°,可实现空间区域内的声源综合定位,优于传统的定位方式,构造简单,可用于实际工程中.

According to the data transfer requirements,which focus on large energy consumption, short network life cycle,narrow scope range of application,weak convergence,as well as the poor practical applications .In order to achieve the widespread sensor data efficient transmission,the fuzzy adaptive fusion algorithm based on the data relevance is proposed,adaptive network model is established. Sensor node data is forward by gathering and relay node,by adaptive network model, according to sensor data relevance,input parameters weighting coefficient is changed dynamically and in doing so change control rules,finally achieved parameter adjustment by optimizing control rules, fused data is transferred to the higher platform. The experiment shows that the algorithm can greatly improve the performance of mass sensor data transmission.

In order to make the laser warning system with real-time,accurately capture the characteristic information of the incoming laser,minimizes false alarm and missed alarm occurred, improving the signal-to-noise ratio of the system become the focus of the study. In order to accurately determine the spectral information of the incoming laser,to uncooperative laser signal,improved the signal-to-noise ratio is reflected in the use of information technology for all kinds of noise,interference suppression and elimination methods. Designed optimization model based on multi-scale wavelet decomposition and signal-to-noise ratio of the error hypothesis testing algorithm. According to the principle of wavelet noise reduction, incoming laser signal with multi-scale decomposition, FDR(False Discovery Rate) algorithm to complete the wavelet noise reduction coefficient threshold. Experimental results show that, used by the technical noise reduction system signal-to-noise ratio improved to 64.22 dB. The corresponding wavelength resolution of 2 nm,filtering and only traditional filtering algorithm compared to experimental data,has been significantly improved,significantly enhanced anti-jamming capability.

Space laser communication is a more advanced communication method at present.Compared to microwave communication,it has many advantages.In Space laser communication this paper the writer first stated the necessity of the research of space laser communication technology,and described its system components,function principle,key technologies and advantage,then according to the time sequence,the foreign development history and research status of the space laser communication was given in detail.Besides,the domestic space laser communication technology research was briefly introduced.Finally,a detailed analysis of the prospects for application,as well as the new development trend was proposed,besides,in the conclusion part,the writer gave the latest level achieved by current technology.

通过Pro/e软件进行参数化建模,运用Ansys Workbench软件对直齿圆柱齿轮进行分析计算,得到齿轮的应力分布图及变形图,并且根据所得结果分析提出改进措施。

The images are observed in different forms and means of various observing systems in the objective world,it is the entity either directly or indirectly acting on the human eye and thus produce visual perception.The image contains the object descriptions that it expresses.The scientific research and statistics show that about 75% of human information obtained from outside is from the visual system,that is,from the image.The human visual system(human visual system,HVS) is an observation system;the objective scene is the formed image in the human minds.The image is an important source for human to obtain information from the external environment,and how to get the image processing,coding,compression,filtering noise,transmission is particularly important in image processing and communication systems.The blind source separation technology has become the research focus of academics of signal processing and neural network circles of common interest.

According to the evaluating situation of university scholarship at present,the paper builds the evaluating index system of university scholarship at first,and analyses the algorithm of RBF neural network,then builds the model of Approximate RBF neural network with training sample data by MATLAB7.0.The simulation results with testing sample data show that the model has higher reference value and practicability.

Laser fuse is a near-target fuse emerged with the rapid development of laser technology in military field. Its accuracy relies on system design, target environment and post-signal processing methods, and so on. The principle of laser pulse ranging and the factors affecting the ranging precision of pulse laser fuse are analyzed. The theorical echo signal is studied and simulated by using the method of wavelet analysis and time-weighted average, and also their accuracies are compared. Meanwhile, some methods are proposed when the echo wave is interfered by clouds, dust and sunlight, etc. Experiment and analysis indicates that these methods are very helpful in increasing accuracy of the laser fuse.

This paper is aimed at the character of wireless meter reading system AirPoint I210 product,using the technology of virtual instrument design the check system of wireless meter reading circuit.Achieving rapid and accurate monitoring of I210 AirPoint by on-line debugging,the system can be used in other types of promotional products.