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全自动机动车前照灯检测仪校准器的研制 被引量:2

Design of an automatic calibrators of headlamp tester
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摘要 针对传统机动车前照灯检测仪校准器操作繁琐、稳定性差的特点,开发了一种可遥控的新型全自动机动车前照灯检测仪校准器.本文介绍了该全自动校准器的基本工作原理与系统构成,对各子系统如光束光轴角调节系统、光强调节系统等做了详尽阐述,为解决标准灯光强与电压关系不易确定问题,建立了光强与电压相映射的神经网络模型,实现了光强连续、智能输出.经专用计量检测装置检测证明,该仪器校准精度高于相关标准,具有智能化程度高、操作方便、精度高的特点. In order to overcome the poor stability and complicated operation of the traditional Calibrators of Headlamp Tester,a new automatic and remote-control calibrator is developed.The system principle is introduced,the hardware and software are designd,and the elaborated various subsystems,such as Regulating System for Optic Angle,Regulating System for Intensity,also are developed.The neural network model for the light intensity and voltage mapping is established to solve the relationship between the standard light intensity and the voltage.In this way,the light can be output continuously and intelligently.The detection test by the special measurement detection device shows such instrument has higher calibration accuracy than the standard,and a higher degree of intelligence with easy operation and high precision.
出处 《河北工业大学学报》 CAS 北大核心 2013年第3期57-61,共5页 Journal of Hebei University of Technology
关键词 前照灯检测仪校准器 旋转平台 复合控制系统 神经网络 光强调节 calibrators of headlamp tester rotary platform compound control system neural network regulation of luminous intensity
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  • 1吴明.汽车前照灯检测仪试验分析[J].公路与汽运,2005(3):9-11. 被引量:3
  • 2JEAN J.LABROSSE著,邵贝贝译.实时嵌入式操作系统(第二版)[M].北京航空航天出版社.2003.5. 被引量:1
  • 3周立功等编著.ARM嵌入式系统基础教程[M].北京:北京航空航天大学出版社,2004. 被引量:4
  • 4[3]王庆友.图像传感器应用技术[M].北京:电子工业出版社,2003. 被引量:3
  • 5[4]郁道银,谈恒英.光学工程[M].北京:机械工业出版社,1999. 被引量:1
  • 6MAN Zhi-hong,WU Hong-ren,LIU S,et al.A new adaptive backpropagation algorithm based on Lyapunov stability theory for neural networks[J].IEEE Trans on Neural Networks,2006,17(6):1580-1591. 被引量:1
  • 7Wong W K,Yuan C W M,Fan D D.Stitching defect dctection and classification using wavelet transform and BP neural network[J].Expert Systems with Applications,2009,36:3845-3856. 被引量:1
  • 8Kamarthi S V,Pittner S.Accelerating neural network training using weight extrapolations[J].Neural Networks,1999,12(9):1285-1299. 被引量:1
  • 9Martin E Moiler S.A scaled conjugate gradient algorithm for fast supervised learning[J].Neural Networks,1993,6(3):525-533. 被引量:1
  • 10Yu C C,Lin B D.A backpropagation algorithm with adaptive learning rate and momentum coefficient[C]//Proceedings of the 2002 International Joint Conference on Neural Networks (IJCNN'02).Honolulu,2002:1218-1223. 被引量:1

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