期刊文献+

电火花加工自适应控制系统的研究 被引量:8

Study of Adaptive Control System for EDM Process
下载PDF
导出
摘要 介绍了以电极放电时间为调整参数的电火花加工自适应控制原理。其控制策略是对加工系统的模型参数进行估计,并根据放电状态实时更替控制器的控制变量值,控制放电状态跟踪指定的参考值。实验证明,自适应控制的电火花加工比没有自适应控制的电火花加工的加工过程更稳定,稳态拉弧脉冲与短路脉冲出现的几率也大幅度减少,且加工速度也提高了近一倍。 A new electro-discharge machining EDM adaptive control system which directly regulates the electrode down time has been developed. The control strategy is based upon a real time estimation of the parameters of EDM model to minimize the variance of controlled process. It was found that with a proper choice of the reference gap state value this adaptive system can not only obtain a high stable machining but also achieve a high machining efficiency, which was almost double the machining efficiency in normal machining without adaptive control. In this sense, conclusion can be safely derived that this adaptive control strategy has greatly increased EDM performances.
作者 周明 韩福柱
出处 《电加工与模具》 2008年第6期16-20,共5页 Electromachining & Mould
关键词 电火花加工 自适应控制 自调整控制 参数估计 EDM adaptive control self-tuning regulator parameter estimation
  • 相关文献

参考文献13

  • 1Ho K H, Newman S T. State of the art electrical discharge machining (EDM)[J ]. International Journal of Machine Tools & Manufacture, 2003,43 : 1287 - 1300.
  • 2Konig W, Dauw D F, Levy G, et al, EDM-future steps towards the machining of ceramics[J]. Ann. CIRP, 1988,37 (2) :623 - 631.
  • 3Snoeys R, Staelens F, Dauw D. Adaptive control optimization as basis for Intelligent EDM die sinking maehines[J ]. Advances in Non-Traditional Machining, ASME PED, 1986,22:63- 78.
  • 4Rajurkar K P,Wang W M. A new model reference adaptive control of EDM[J]. Annals of the CIRP, 1989,38(1 ):183- 186.
  • 5Rajurkar K P, Wang W M. Real time stochastic model and control of EDM[J]. Annals of the C1RP, 1990,39(1) :187- 190.
  • 6Wang W M, Rajurkar K P. Digital gap monitor mad adaptive integral control for Auto-Jumping in EDM[J]. Journal of Engineer- ing for industry, ASME, 1995,177:253 - 258.
  • 7Snoeys R, Dauw D, Kruth J P. Improved adaptive control system for EDM process[J]. Annals of the C1RP, 1980,29(1):97- 101.
  • 8Rajurkar K P, Wang W M. Improvement of EDM performance with advanced monitoring and control systems[J]. Journal of Manu- facturing Science and Engineering, ASME, 1997,119:770 - 775.
  • 9Allidina A Y, Hughes F M. Self-tuning controller with integral action. Opt[J]. Control Appl. Meth., 1982(3):355-362.
  • 10周明.微细电火花加工放电状态辨识与预测的理论和方法[D].大连:大连理工大学,2006.

二级参考文献7

  • 1Wang W M, Rajurkar K P. Digital gap monitor and adaptive integral control for auto-Jumping in EDM[J]. Journal of Engineering for Industry, 1995,117 : 253 - 258.
  • 2Rajurkar, Wang M W. Improvement of EDM performance with advanced monitoring and control system[J]. Manuf. Sci. Eng, 1997,119:770 - 775.
  • 3Gopal I, Rajurkar K P. Arti eial. Neural network approach in modelling of EDM process [ J ]. Intelligent Engineering Systems Through Arti. cial Neural Networks, 1992,2:845 - 850.
  • 4Tsai K M, Wang P J. Predictions on surface finish in electrical discharge machining based upon neural network models[J]. International Journal of Machine Tools & Manufacture,2001,41 : 1385 - 1403.
  • 5Tariq Jilani S, Pandey P C. Analysis and modeling of EDM parameters[J]. Precision Engineering,1982,4:215-221.
  • 6Petropoulos G, Vaxevanidis N M, Pandazaras C. Modeling of surface finish in electro-discharge machining based upon statistical multi-parameter analysis [ J ]. Journal of Materials Processing Technolngy2004,155 - 156 : 1247 - 1251.
  • 7Lennart Ljung. System identification-theory for the user, second edition[J]. Prentice Hall PTR, 1999,473, 87-90 , 550, 363 - 365.

同被引文献94

引证文献8

二级引证文献36

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部