A self-organizing neural fuzzy logic controller for turning operations

Zong Mu Yeh, Y. S. Tarng, C. Y. Nian

研究成果: 雜誌貢獻文章同行評審

14 引文 斯高帕斯(Scopus)


This paper proposes a neural fuzzy logic controller to achieve self-organizing control for turning operations. A new learning method which is based on a performance index of sliding mode control is used for control rule modifications and some supervision rules are also given to secure rule modifications. One of the major advantages of the proposed model is that it can start from an empty control rule base. Simulation and experimental results of the control of a constant turning force under varying cutting conditions are given to illustrate the effectiveness of the proposed method.

頁(從 - 到)1363-1374
期刊International Journal of Machine Tools and Manufacture
出版狀態已發佈 - 1995 十月

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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