Intelligent Control for Pneumatic Servo System
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概要
- 論文の詳細を見る
In this paper, we propose an intelligent control method in which IMC control is combined with neural networks (NN). Internal model control (IMC) has a number of advantages for enhancing control performance. IMC can minimize disturbance greatly. IMC is attractive for industrial users because it has only one tuning parameter. The IMC is significant because the stability and robustness properties of the structure can be analyzed and manipulated in a transparent manner, even for nonlinear systems. On the other hand, NN is used to get the suitable control parameter when the plant contains non-linear elements. We apply the proposed intelligent control method for a pneumatic servo system which usually contains non-linearity. The effectiveness of the proposed design method is confirmed by experiments using the existent pneumatic servo system.
- 一般社団法人日本機械学会の論文
- 2003-06-15
著者
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Tanaka Kanya
Department Of Information And Design Engineering Faculty Of Engineering Yamaguchi University
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Tanaka Kanya
Department Of Electrical And Electronic Engineering Faculty Of Engineering Yamaguchi University
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LI Jinhua
Department of Chemistry, Graduate School of Science, Tokyo Metropolitan University
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Li J
Department Of Electrical And Electronic Engineering Faculty Of Engineering Yamaguchi University
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Li Jinhua
Department Of Chemistry Graduate School Of Science Tokyo Metropolitan University
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