Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/36876
Title: A self-organizing neural fuzzy logic controller for turning operations
Authors: 國立臺灣師範大學機電工程學系
Yeh, Zong-Mu
Tarng, Y. S.
Nian, C. Y.
Issue Date: 1-Oct-1995
Publisher: Elsevier
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.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/36876
ISSN: 0890-6955
Other Identifiers: ntnulib_tp_E0402_01_002
Appears in Collections:教師著作

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