基于神经网络的时间间隔测量仪研究与设计
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摘要
时间间隔测量仪是弹丸、弹药参数性能测试技术的核心技术之一,是衡量常规枪炮及弹丸弹药等武器性能的重要探测手段。本文的目的就是设计一种基于神经网络的时间间隔测量仪,利用神经网络技术对测试数据进行数据的再次加工及分析,进而提高了测试数据的可靠性和测量精度。
     本课题的主要工作内容包含以下两个部分:终端测试仪器的设计、基于神经网络下的软件的设计与编程。终端测试仪器主要完成弹丸飞行时间间隔的测量及数据的通信,其设计主要包括信号预处理模块、计数程序模块、数据总线控制器、锁存器、电源模块、时钟模块、通信模块,显示模块与键盘模块设计。其中信号预处理模块设计、计数程序模块设计和通信模块设计是终端测试仪器的核心环节,在信号的时间间隔的测量中应用CPLD器件来完成,有利于电路达到小型化,也进一步提高系统的可靠性、灵活性和反应速度;在通信模块的设计中采用单片机来完成,可以进一步提高整个测试系统的智能化;在神经网络的实现及上位机软件的设计中利用VC++6.0来完成,主要实现了神经网络的权值产生模块、激励函数模块、前向模块、输出层误差模块、隐含层误差模块和权值调整模块的设计,还实现了数据的存储、数据的实时显示、报表打印、图像显示功能,软件的设计解决了测试过程中繁琐的手工计算过程,提高了测量仪的测试效率。
     通过现场测试实验,应用结果表明,该方法能够高效的、准确的对误测数据进行识别,测量精度达到10ns,系统工作可靠、人机界面友好、操作方便。
The time interval measurement instrument is one of the major techniques of testing bullet, ammunition and other weapons performance parameters. It is an important means of detecting conventional weapons, such as guns, bullet and ammunition. The purpose of the paper is to design the time interval measurement instrument which is in view of the neural network to re-processing, analysis, the reliability and precision of testing bullet has been improved.
     The main contents of the paper are mainly consists of the terminal test equipment, the software's design which is based on neural network and programming. The flight time interval measurement and data communication are mainly completed by terminal test equipment which includes signal pre-processing module, counting program modules, data bus controller, latch, power module, clock module, communication module, display module arid the keyboard module design, in which the design of the signal's pre-processing module, module and the counting process communication module are the core parts. In the measurement of the signal's time interval, the CPLD device has the function of making for the circuit to achieve miniaturization and further improving the system's reliability, flexibility and speed of response; microcontroller has the function of enhancing the whole test system intelligently in the communication module; neural network and PC software are complied by VC++6.0.The software carry out the design of six modules, such as the neural network's weight creating, excitation function, forward, the output layer error, hidden error and weight adjustment, but also it mainly achieve data storage, real-time display of data, report printing, image display function. Meanwhile, with the help of the software, the tedious manual calculation could be solved and the test efficiency of the measurement instrument could be improved during the testing.
     Finally, by way of the on-site testing, the results show that the method can be identified efficiently and precisely,the measure accuracy can reach to 10ns, system can work reliably and a friendly man-machine interface,operate conveniently.
引文
[1]刘世平.弹丸速度测量与数据处理[M].北京:兵器工业出版社,1994
    [2]孟庆杰,解海中,董绪荣.利用GPS进行速度测量的方法研究[J].装备指挥技术学院学报,2002,13(1):70~73
    [3]倪晋平等.智能化多功能测时仪研制[J].西安工业学院学报,2000,20(3):182~186
    [4]舒悌翔.自动测试技术的发展探讨[J].宇航测试技术,2001,21(3):46~52
    [5]倪晋平,王铁岭.光电靶工作原理及应用[J].西安工业学院学报,1997,17(1):31~36
    [6]叶超,高分辨率时间间隔测量仪控制软件设计:[硕士学位论文].成都:电子科技大学,2006
    [7]余力,高分辨率时间间隔测量仪设计与实现:[硕士学位论文].西安:西安电子科技大学,2009
    [8]朱智娟,标准时延测试仪的设计和时间同步技术的研究:[硕士学位论文].浙江:浙江大学,2007
    [9]杨喜光,基于时空转换的短时间间隔测量:[硕士学位论文].西安:西安电子科技大学,2007
    [10]陈鹏,高分辨率智能测时仪的研制:[硕士学位论文].南京:南京理工大学,2004
    [11]Dennis L. Downing. Targeting system [P]. USA,5577733,1996,11
    [12]马时亮等.基于C51语言智能测时仪的设计与实现[J],西安工业学院学报,2005,25(4):327~330
    [13]吴守贤、漆贯荣、边玉敬编著,时间测量[M].北京:科学出版社,1983
    [14]黄宁,基于虚拟仪器的多通道时间间隔测量仪的研究与设计:[硕士学位论文].中国科学院研究生院:中国科学院国家授时中心,2008
    [15]Kalisz J,Pawlowski M,Pelka R.Error analysis and design of the Nutt time-interval digitizer with picosecond resolution[J] J.Phys.E:Sci. Instrum.,1987,1330-1341
    [16]栾日超,高精度时间间隔测量芯片的研制:[硕士学位论文].大连:大连理工大学,2008
    [17]Kichimi H,Yamaguchi H,Varner Getal.Time expanding multihit TDC for BELLE TOF detector at KEK B factory.Proceedings of the 1997 Electronics for Particle Physics Conference,London,1997:1-10
    [18]Tlsas, Lot 1 to A, GiudiCeAetal.MonolithieTime to digitaleonverterwithZOps resolution.Solid—StateCireuitsConferenee, EuroPean,200;3:465—468
    [19]MaattaK,KostamovaaraJ.Ahigh,preeisiontime to digital eonverter for pulsed time-of-flight laser radar applications.IEEE Transactions on Instrumentation and Measurement.1998,47(2):521-536
    [20]伏全海,精密时间间隔测量方法及其应用的研究,[硕士学位论文].西安:西安电子科技大学,2004
    [21]孙杰、潘继飞,高精度时间间隔测量方法综述[J],计算机测量与控制,2007,2(2):145-148
    [22]谢春丽,夏虹,刘永阔等.BP神经网络改进算法在核电设备故障诊断中的应用[J].核动力工程,2007,28(4):85~90
    [23]高静斌,吴静,任宏滨.基于改进BP神经网络的某导弹姿态控制系统故障诊断[J].导弹与航天运载技术,2007年第6期:53~56
    [24]Simon HayKin著, 叶世伟等译.神经网络原理[M].北京:机械工业出版社,2004
    [25]刘海亮,熊静琪.基于BP神经网络液压制动故障诊断研究[J],微计算机信息,2007,23(2-1):186~187
    [26]虞和济,陈长征,等著.基于神经网络的智能诊断[M].北京:冶金工业出版社,2000
    [27]柴冰华,赵达尊,廖宁放等.色貌模型的人工神经网络方法的研究[J].光学技术,2005,31(1):127~129
    [28]Zhou S Q, Zhao D Z. Neural network method for characterizing video cameras[J].Proceeding of SPIE,1998,3561:62—68
    [29]Venayagamoorthy G K, Harley R G,A continually online rained neurocontroller for excitation and turbine control of a turbo generator[J]. IEEE Transactions on Energy Conversion,2001,16(3):261-269
    [30]Bishop J M, et al. Application of neural networks to computer recipe prediction[J]. Color Res. Appl.,1991,16 (1):3—9
    [31]阎平凡,张长水著.人工神经网络与模拟进化计算[M].北京:清华大学出版社,2005
    [32]朱文龙,智能温室模糊控制系统的研究[D].东北林业大学.2004
    [33]蒋宗礼著.人工神经网络导论[M].北京:高等教育出版社,2001
    [34]李士勇著.模糊控制、神经控制和智能控制理论[M].哈尔滨:哈尔滨工业大学出版社,1998
    [35]李延新.一种基于RBF网络提取模糊规则的算法实现[D].大连交通大学,2005
    [36]李秀梅,赵春江,乔晓军等.基于改进遗传算法的温湿度模糊神经网络控制器[J],农业工程学报,2004,20(1):259-262.
    [37]韩力群.人工神经网络教程[M].北京邮电大学出版社,2006
    [38]李杰,杨进基于神经网络PID控制的智能算法设计中文核心期刊《微计算机信息》(测控自动化)2008年第24卷第8-1期
    [39](美)Sandhya Samarasinghe著,史晓霞 陈一民 李军冶等译,神经网络在应用科学和工程中的应用[M].北京:机械工业出版社,2010
    [40]Mind and Brain,Readings from "Scientific American" Magazine,W.H.Freeman,New York,1993
    [41]Eberhart,R.C.and Dobbins,R.W. Neural Networks PC Tools:A Practical Guide,Chap.1,Background and History,R.C.Eberhart and R.W.Dobbins,eds.Academic Press,San Diego,CA,1990
    [42]焦李成.神经网络系统理论[M].西安:西安电子科技大学出版社,1992
    [43]吴简彤,王建华.神经网络技术及其应用[M].哈尔滨:哈尔滨工程大学出版,2005
    [44]陈善广,鲍勇.BP神经网络学习算法研究[J].应用基础与工程科学学报,1995.12,Vol3(4):437-439
    [45]Mareo.leon, an artifical neural network on a field Programmable gate array as a virtual sensor,2000
    [46]Hebb,D.The Organization of Behavior, Wiley,New York,1949
    [47]Rosenblatt,F.The perceptron:A probabilistic model for information storage and organization in the brain,Psychological Review,65,386,1958
    [48]Rosenblatt,F.Principles of Neurodynamics:Perceptron and the Theory of Brain Mechanisms,Sparton Books, Washington,DC,1961
    [49]周亦武编著,智能仪表原理与应用技术[M].北京:电子工业出版社,2009
    [50]徐洋等编著,基于Verilog HDL的FPGA设计与工程应用[M].北京:人民邮电出版社,2009.
    [51]MAX Ⅱ Device Family Data Sheet,www.altera.com.cn/products/devices/cpld/max2
    [52]杨明元,一种高智能化高精度测时仪的设计[J].电子科技,2008,21(5):16~18
    [53]周润景,图雅,张丽敏编著.基于Quartus Ⅱ的FPGA/CPLD数字系统设计实例[M].北京:电子工业出版社,2007
    [54]谢子青.光电隔离抗干扰技术及应用[J].现代电子技术,2003,13:33~34
    [55]戴仙金主编,51单片机及其C语言程序开发实例[M].北京:清华大学出版社,2008
    [56]王占全,徐惠编著.Visual C++数字图像处理技术与工程案例[M].北京:人民邮电出版社,2009
    [57]Dela Escalera, Moreno L E,Salichs M A,et al.Road Traffic Sign Detectionand Classification[J].Reprinted from IEEE Transactions on Industrial Eleectronics,1997,44(6)
    [58]杨斐,王坤明,马欣等.应用BP神经网络分离器识别交通标志[J].计算机工程,2003,29(10):120~121