Intelligent control for pneumatic servo system

Jinhua Li, Kanya Tanaka

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)699-704
Number of pages6
JournalJSME International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing
Volume46
Issue number2
DOIs
Publication statusPublished - Jun 2003

Keywords

  • Intelligent control
  • Internal model control
  • Neural networks
  • Pneumatic servo system

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