Intelligent control for pneumatic servo system

Jinhua Li; Kanya Tanaka

doi:10.1299/jsmec.46.699

Intelligent control for pneumatic servo system

Jinhua Li, Kanya Tanaka

Department of Electronics and Bioinformatics

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	699-704
Number of pages	6
Journal	JSME International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing
Volume	46
Issue number	2
DOIs	https://doi.org/10.1299/jsmec.46.699
Publication status	Published - Jun 2003

Keywords

Intelligent control
Internal model control
Neural networks
Pneumatic servo system

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10.1299/jsmec.46.699

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abstract = "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.",

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AB - 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.

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Intelligent control for pneumatic servo system

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Keywords

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