华南理工大学学报(自然科学版) ›› 2006, Vol. 34 ›› Issue (2): 37-40,46.

• 机械工程 • 上一篇    下一篇

基于神经网络和模糊控制的电解加工问隙控制

王希 赵东标 云乃彰   

  1. 南京航空航天大学 机电学院,江苏 南京 210016
  • 收稿日期:2005-04-05 出版日期:2006-02-25 发布日期:2006-02-25
  • 通信作者: 王希(1970-)男,博士生,主要从事智能系统、测控系统及电解加工的研究 E-mail:wy7072@sohu.corn
  • 作者简介:王希(1970-)男,博士生,主要从事智能系统、测控系统及电解加工的研究
  • 基金资助:

    国家自然科学基金资助项目(50275077);高等学校博士点学科专项科研基金资助项目(20020287004);航空科学基金资助项目(02H52048)

Interelectrode Gap Control in Electrochemical M achining Based on Neural Network and Fuzzy Control

Wang Xi  Zhao Dong-biao  Yun Nai-zhang   

  1. College of Mechanical and Electrical Engineering,Nanjing Univ.of Aeronautics and Astronautics,Nanjing 210016,Jiangsu.China
  • Received:2005-04-05 Online:2006-02-25 Published:2006-02-25
  • Contact: 王希(1970-)男,博士生,主要从事智能系统、测控系统及电解加工的研究 E-mail:wy7072@sohu.corn
  • About author:王希(1970-)男,博士生,主要从事智能系统、测控系统及电解加工的研究
  • Supported by:

    国家自然科学基金资助项目(50275077);高等学校博士点学科专项科研基金资助项目(20020287004);航空科学基金资助项目(02H52048)

摘要: 利用阴极面上承受的来自电解液的压力来反映电解加工间隙的大小.用BP神经网络实现间隙向力信号的非线性映射,把间隙的误差转化为力的误差及误差的变化信号,以此作为模糊控制器的输入;以加工电压的增量作为模糊控制器的输出,实现对间隙的控制.根据间隙控制的理论公式,建立了仿真模型,在Matlab的Simulink模块中通过对神经网络、模糊控制器和电解加工系统联合组成的智能控制系统的仿真试验来整定模糊控制器的3个增益参数.结果表明,所提出的控制方法对间隙的控制具有很好的效果,无稳态误差,且速度快、鲁棒性好.

关键词: 模糊控制, 神经网络, 电解加工, 间隙控制, 仿真

Abstract:

In this paper,the force resulting from the electrolyte and loaded on the cathode surface is used to express the size of the interelectrode gap in ECM (Electrochemical Machining).The nonlinearity mapping between the force and the interelectrode gap is first implemented by a BP neural network.and a fuzzy controller is then de-signed to control the gap,with the voltage increment as the output and the force eror transferred from the eror of the interelectrode gap and the change of force eror as the inputs.Moreover,a simulation model is set up based on the theoretical expression of the interelectrode gap.An intelligent control system consisting of the BP neural net-work,the fuzzy controller and the ECM system is finally tested based on the Simulink module of Matlab to adiust the three increment parameters of the fuzzy controller.Simulated results show that the interelectrode gap can be well controlled by the proposed method,with high speed,good robustness and with no stable ero

Key words: fuzzy control, neural network, electrochemical machining, gap control, simulation