违反了 PRIMARY KEY 约束“PK_t_web_site_access”。不能在对象“dbo.t_web_site_access”中插入重复键。重复键值为 (122187)。 语句已终止。
张牧琢,周严.钢轨轮廓测量中稳定装置研究[J].国外电子测量技术,2016,35(11):68-72
钢轨轮廓测量中稳定装置研究
Research of stabilized device in railway track profile inspection
  
DOI:
中文关键词:  稳定装置  PID  神经网络
英文关键词:stabilized device  PID  neural network
基金项目:
作者单位
张牧琢 南京理工大学机械工程学院 南京 210094 
周严 南京理工大学机械工程学院 南京 210094 
AuthorInstitution
Zhang Muzhuo School of Mechanical Engineering,Nanjing University of science and Technology,Nanjing 210094,China 
Zhou Yan School of Mechanical Engineering,Nanjing University of science and Technology,Nanjing 210094,China 
摘要点击次数: 124
全文下载次数: 123
中文摘要:
      介绍了基于机器视觉技术的在线钢轨轮廓检测技术受车体振动的影响,提出了通过添加稳定装置的方式消除车体振动对检测的影响。设计了基于陀螺的单轴稳定装置,并对稳定控制回路进行了建模分析,设计了一种基于RBF神经网络在线辨别的单神经元自适应PID控制算法。通过Simulink仿真表明,该算法相比较传统PID控制,能有效地解决实际被控对象模型不准确的问题,具有响应速度快、稳定性高等特点,为设计高精度稳定装置系统提供了理论依据。
英文摘要:
      The paper introduces that railway track on line profile inspection based on machine vision is influenced by vehicle vibration. It presents a project that eliminates the influence of vehicle vibration by stabilized device. This article designs based on single axis gyro stabilized device, and modeling analysis was carried out on stability control circuit. What’s more, single neuron PID adaptive control based on RBF neural network on line identification has come up. Simulation manifests that compared with traditional PID this algorithm can solve the problem of inaccurate object model effectively, and it has the characteristic of rapid response speed and high stability. This provides theory basis for high precision stabilized device.
查看全文  查看/发表评论  下载PDF阅读器