摘要
介绍了光电旋转编码器的工作原理以及用其测量闸门开度的硬件方法和软件实现 ,提出了提高编码器测位移的可靠性方法 ,建立了基于 BP神经网络的闸门开度辨识模型 ,运行结果表明了该方法的可行性。
This paper introduces the principles of opti-electronic rotary encoder and the method for measuring gate opening, it also presents the reliable method to measure displacement by encoder and sets up the identifiable model of gate opening based on BP neural network. The results demonstrated the availability of it.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2002年第z3期97-99,105,共4页
Chinese Journal of Scientific Instrument
关键词
旋转编码器
神经网络
可靠性
控制系统
Rotary encoder Neural network Reliability Control system