NDLI: Motion control of a nonlinear pneumatic actuating table by using self-adaptation fuzzy controller

Content Provider	IEEE Xplore Digital Library
Author	Shiuh-Jer Huang Hsin-Wei Shieh
Copyright Year	2009
Description	Author affiliation: Department of Vehicle Engineering, National Taipei University of Technology, Taiwan (Shiuh-Jer Huang; Hsin-Wei Shieh)
Abstract	Since the pneumatic system has compressibility and time-delay nonlinearity behaviors, especially, for a heavy-duty pneumatic actuating table, it is difficult to establish an appropriate mathematical model for the design of model-based controller. Although fuzzy logic control has model-free feature, it still needs a time consuming work for rules bank and fuzzy parameters adjustment. Here, a self-adaptation fuzzy controller (SAFC) is proposed to control the up-down motion of a four legs pneumatic actuating table. This intelligent control strategy combines an adaptive rule with fuzzy and sliding mode control algorithms. It has on-line learning ability to deal with the system time-varying and non-linear uncertainty coupling behaviors, and adjust the control rules parameters. Only eleven fuzzy rules are required for this MIMO pneumatic actuating table motion control and these fuzzy control rules can be established and modified continuously by on-line learning. The experimental results show that this intelligent control algorithm can effectively monitor the pneumatic table to track the specified motion trajectories.
Starting Page	1
Ending Page	6
File Size	573028
Page Count	6
File Format	PDF
ISBN	9781424435067
DOI	10.1109/ICIT.2009.4939719
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-02-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion control Fuzzy control Sliding mode control Mathematical model Nonlinear control systems Fuzzy logic Intelligent control Pneumatic systems Leg Programmable control
Content Type	Text
Resource Type	Article

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