Model establishment and control of the grinding process of a leadscrew by artificial neural network

SONG Hong-tao; BIN Hong-zan

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Model establishment and control of the grinding process of a leadscrew by artificial neural network

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- Model establishment and control of the grinding process of a leadscrew by artificial neural network
- Optics and Precision Engineering Vol. 9, Issue 4, Pages: 364-367(2001)
- 作者机构：
  
  华中科技大学机械学院, 湖北武汉, 430074
- 作者简介：
- 基金信息：
- DOI：
  CLC： TG580.6
- Received：08 January 2001，
  
  Revised：18 June 2001，
  
  Published Online：15 August 2001，
  
  Published：15 August 2001
- 稿件说明：
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宋洪涛, 宾鸿赞. 把神经网络应用于丝杠磨削过程的建模与控制[J]. 光学精密工程, 2001,(4): 364-367

SONG Hong-tao, BIN Hong-zan. Model establishment and control of the grinding process of a leadscrew by artificial neural network[J]. Editorial Office of Optics and Precision Engineering, 2001,(4): 364-367
宋洪涛, 宾鸿赞. 把神经网络应用于丝杠磨削过程的建模与控制[J]. 光学精密工程, 2001,(4): 364-367 DOI：

SONG Hong-tao, BIN Hong-zan. Model establishment and control of the grinding process of a leadscrew by artificial neural network[J]. Editorial Office of Optics and Precision Engineering, 2001,(4): 364-367 DOI：

摘要

提出了利用两个人工神经网络对丝杠的磨削过程进行建模与预测控制的思想.其中

网络1用于复映传动链、热变形和力变形等误差源与工件螺距误差的关系

即建模;网络2根据网络1的输出和工件螺距误差的仿真值而预报输出下一采样周期的综合补偿控制量.通过一系列试验研究

证明此控制策略能减少工件螺距误差80%以上

有效提高了试件丝杠的磨削精度.

Abstract

A strategy for model establishment and predictive control of the grinding process of a leadscrew by two artificial neural networks is proposed. The first ANN is used to model the relationship of thermal deformation and force deformation error with the pitch error of the workpiece

and the second ANN outputs the final modified control value according to the output of the first ANN and the theoretical control value

and the modified control value can be applied for compensation control at the beginning of the next sampling period. The experimental results show that the pitch error of the workpiece is decreased by more than 80%

thus significantly improving the grinding precision of the leadscrew.

关键词

Keywords

references

Westkamper E. Zero-defect manufacturing by means of a learning supervision of process chains[J]. Annals of the CIRP, 1994,43(1):405-408.

李培生,李劲松,桂修文,等.螺纹智能磨削的研究[J].机械工程学报,1992,28(1):14-19.

宋朝辉,卢锷.人工神经网络技术在数控加工误差控制中的应用[J].光学精密工程,1998,6(6):79-83.

刘琼,宾鸿赞.剃齿刀齿面造型理论及其分析[J].光学精密工程,2000,8(1):55-59.

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