Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/36878
Title: Genetic synthesis of fuzzy logic controller in turning
Authors: 國立臺灣師範大學機電工程學系
Tarng, Y. S.
Yeh, Zong-Mu
Issue Date: 11-Nov-1996
Publisher: Elsevier
Abstract: The paper presents an optimal fuzzy logic controller design using efficient robust optimization techniques called genetic algorithms. It is shown that genetic algorithms can automatically search input and output scaling factors, membership functions, and fuzzy rules of the fuzzy logic controllers based on a fitness function. As a result, fuzzy logic controllers with optimal control performance can be systematically constructed instead of using a time-consuming trial and error approach. An adaptive force control system in turning operations is then used to illustrate the proposed method. It is shown that the developed fuzzy logic controller can achieve an automatic adjustment of feed rate to optimize the production rate with a constant cutting force in turning operations.
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/36878
ISSN: 0165-0114
Other Identifiers: ntnulib_tp_E0402_01_004
Appears in Collections:教師著作

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