• CN:11-2187/TH
  • ISSN:0577-6686

›› 2002, Vol. 38 ›› Issue (1): 75-78.

• 论文 • 上一篇    下一篇

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数控机床智能控制系统鲁棒性策略研究

胡旭晓;杨克已;潘双夏   

  1. 浙江大学CAD&CG国家重点实验室
  • 发布日期:2002-01-15

RESEARCH ON ROBUSTNESS STRATEGY OF THE INTELLIGENT CONTROL SYSTEM FOR NC MACHINE TOOL

Hu Xuxiao;Yang Keji;Pan Shuangxia   

  1. Zhejiang University
  • Published:2002-01-15

摘要: 在分析不可预测扰动和可预测扰动对智能控制系统鲁棒性影响的基础上,提出了提高智能控制系统鲁棒性的相应策略,并用遗传算法对控制参数进行优化。在数控机床液压油温智能控制系统和数控机床加工误差补偿系统中获得了较好应用。

关键词: 参数优化, 鲁棒性, 神经网络, 智能控制

Abstract: The influences on intelligent control system's robustness of unpredictable disturbances and predictable disturbances are presented, some strategy of decreasing these influences and an control parameter optimization algorithm are also given. Moreover, the improving performance using these methods is testified by two practical application examples, the intelligent oil temperature control system and the machining error compensation system.

Key words: Intelligent control, Neural net, Parameter optimization, Robustness

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