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Integrated feedback scheduling and control co-design for motion coordination of networked induction motor systems

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posted on 2017-09-15, 15:52 authored by Dezong Zhao, Qingqing Ding, Shangmin Zhang, Chunwen Li, Richard Stobart
This paper investigates the codesign of remote speed control and network scheduling for motion coordination of multiple induction motors through a shared communication network. An integrated feedback scheduling algorithm is designed to allocate the optimal sampling period and priority to each control loop to optimize the global performance of a networked control system (NCS), while satisfying the constraints of stability and schedulability. A speed synchronization method is incorporated into the scheduling algorithm to improve the speed synchronization performance of multiple induction motors. The rational gain of the network speed controllers is calculated using the Lyapunov theorem and tuned online by fuzzy logic to guarantee the robustness against complicated variations on the communication network. Furthermore, a state predictor is designed to compensate the time delay which occurred in data transmission from the sensor to the controller, as a part of the networked controller. Simulation results support the effectiveness of the proposed control-and-scheduling codesign approach.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Mathematical Problems in Engineering

Volume

2014

Citation

ZHAO, D. ... et al., 2014. Integrated feedback scheduling and control co-design for motion coordination of networked induction motor systems. Mathematical Problems in Engineering, DOI: 10.1155/2014/578569.

Publisher

Hindawi (© the authors)

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Publication date

2014

Notes

This work was supported by the National Natural Science Foundation of China under the Grant reference 61174068.

ISSN

1024-123X

eISSN

1563-5147

Language

  • en

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