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Fuzzy speed control of networked motion control systems

journal contribution
posted on 15.09.2017 by Shangmin Zhang, Dezong Zhao, Chunwen Li, Richard Stobart
This paper proposed an integrated scheme for the modeling and control of induction motors in the networked environment. The networked control system (NCS) is built in hierarchical structure, which consists ofa networked speed controller and a local controller. In the networked speed controller, fuzzy gain scheduling is applied to guarantee the robustness against communication constraints. Furthermore, a state predictor is designed to compensate the time delay occurred in data transmission from the sensor to the controller, as a component ofthe networked speed controller. Simulation and experimental results are given to illustrate the effectiveness ofthe proposed approach.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Journal of Computational and Nonlinear Dynamics

Volume

10

Issue

6

Citation

ZHANG, S. ... et al., 2015. Fuzzy speed control of networked motion control systems. Journal of Computational and Nonlinear Dynamics, 10 (6), DOI: 10.1115/1.4029903.

Publisher

© ASME

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015

Notes

This work was funded by the National Natural Science Foundation of China under the Grant No. 61174068.

ISSN

1555-1415

eISSN

1555-1423

Language

en

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Keyword(s)

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