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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/41426

Authors: Jinn-Tong Chiu;Chih-Chung Fang
Contributors: 國立臺灣海洋大學:系統工程暨造船學系
Keywords: soft computing;artificial neural networks;fuzzy control theory;active vibration isolation systems
Date: 2016
Issue Date: 2017-02-15T08:31:26Z
Publisher: Journal of Marine Science and Technology
Abstract: Abstract:In the paper, we develop a two-phase design approach for
a fuzzy logic controller (FLC) of an active vibration isolation
system, which adopts two components of soft computing
techniques, namely fuzzy logic control theory and neural
networks. First, we design a fuzzy logic controller for an active
vibration isolation system using fuzzy logic control theory.
We conduct numerical simulations of an active vibration isolation
system with three kinds of exciting loads. The results indicate
that the performance of the fuzzy logic controller is
very good, but its control rule surface does not measure up in
practical terms. Secondly in the neural network, trained by
Quick-prop with Newton's method, is used to model an approximation
of this fuzzy logic controller, termed the neural
network fuzzy controller (NNFC). The control performance
indicates that the NNFC has the same performance as the FLC
designed in the first phase and its control rule surface is improved
and more suitable for actual use. The results indicate
that the proposed design approach provides a robust, controllable,
practical, and low-cost solution for a FLC of an active
vibration isolation system.
Relation: 24(3),pp.519-529
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/41426
Appears in Collections:[系統工程暨造船學系] 期刊論文

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