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Hierarchical modeling and speed control of networked induction motor systems
conference contribution
posted on 2017-09-18, 09:22 authored by Dezong Zhao, Chunwen Li, Richard StobartThis paper proposes a hierarchical modeling method and a fuzzy speed control strategy for nonlinear networked induction motor systems subject to network induced time delay and packets dropout. The networked induction motor control system consists of a networked speed controller and a local controller. Fuzzy gain scheduling is applied on the networked speed controller to guarantee the robustness against complicated variations on the communication network. The state predictor is to compensate the time delay occurred in data transmission in the feedback channel. In stability analysis, the upper allowed limits of the time delay and packets dropout are calculated using the Lyapunov-Krasovskii theorem, respectively. Simulation and experimental results are given to illustrate the effectiveness of the proposed approach.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
Proceedings of the American Control ConferencePages
2344 - 2349Citation
ZHAO, D., LI, C. and STOBART, R., 2013. Hierarchical modeling and speed control of networked induction motor systems. IN: Proceedings of 2013 American Control Conference, Washington, United States, 17-19 June 2013, pp.2350-2355.Publisher
IEEE (© American Automatic Control Council)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
2013Notes
© 2013 AACC. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.ISBN
9781479901777;1479901776;9781479901784;1479901784ISSN
0743-1619Publisher version
Language
- en