A self-organizing neural fuzzy logic controller for turning operations

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

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1363-1374
Number of pages12
JournalInternational Journal of Machine Tools and Manufacture
Volume35
Issue number10
DOIs
Publication statusPublished - 1995 Oct

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Fuzzy logic
Controllers
Sliding mode control

ASJC Scopus subject areas

  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

A self-organizing neural fuzzy logic controller for turning operations. / Yeh, Zong Mu; Tarng, Y. S.; Nian, C. Y.

In: International Journal of Machine Tools and Manufacture, Vol. 35, No. 10, 10.1995, p. 1363-1374.

Research output: Contribution to journalArticle

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