Operator-based integral sliding mode control design for WPT system via magnetic resonance coupling

Kodai Masaki, Xudong Gao, Mingcong Deng, Yuichi Noge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In previous researches, an operator-based sliding mode control design to achieve high power transfer efficiency of a wireless power transfer (WPT) system via magnetic resonance coupling were shown. However, it is difficult to reduce the steady-state error by using SMC-based tracking controller. In this paper, an operator-based integral sliding mode control method is adopted to reduce the steady-state error in the WPT system. Moreover, high power efficiency should be achieved in the WPT system by using an impedance matching control. The effectiveness of the proposed method is verified by simulation results.

Original languageEnglish
Title of host publication2017 International Conference on Advanced Mechatronic Systems, ICAMechS 2017
PublisherIEEE Computer Society
Pages429-434
Number of pages6
ISBN (Electronic)9781538626023
DOIs
Publication statusPublished - Mar 14 2018
Externally publishedYes
Event2017 International Conference on Advanced Mechatronic Systems, ICAMechS 2017 - Xiamen, China
Duration: Dec 6 2017Dec 9 2017

Publication series

NameInternational Conference on Advanced Mechatronic Systems, ICAMechS
Volume2017-December
ISSN (Print)2325-0682
ISSN (Electronic)2325-0690

Conference

Conference2017 International Conference on Advanced Mechatronic Systems, ICAMechS 2017
CountryChina
CityXiamen
Period12/6/1712/9/17

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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  • Cite this

    Masaki, K., Gao, X., Deng, M., & Noge, Y. (2018). Operator-based integral sliding mode control design for WPT system via magnetic resonance coupling. In 2017 International Conference on Advanced Mechatronic Systems, ICAMechS 2017 (pp. 429-434). (International Conference on Advanced Mechatronic Systems, ICAMechS; Vol. 2017-December). IEEE Computer Society. https://doi.org/10.1109/ICAMechS.2017.8316512