Discrete-Time Fractional Order Integral Sliding Mode Control for Piezoelectric Actuators with Improved Performance Based on Fuzzy Tuning

Manh Linh Nguyen, Xinkai Chen

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

1 Citation (Scopus)

Abstract

In this paper, the discrete-time fractional order integral sliding mode control design for linear uncertain systems is investigated. First, a new method is proposed to approximate the fractional order integral recursively. Then, the control design based on the proposed approximation is presented. Finally, the fuzzy tuning which adjusts the integral gain and the fractional order of the integral simultaneously is employed to improve the transient response of the control system. The effectiveness of the proposed strategy is verified by both simulations and experiments on a piezo-actuated positioning system.

Original languageEnglish
Title of host publicationProceedings of the 2018 13th World Congress on Intelligent Control and Automation, WCICA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages554-559
Number of pages6
ISBN (Electronic)9781538673454
DOIs
Publication statusPublished - 2019 Jan 30
Event13th World Congress on Intelligent Control and Automation, WCICA 2018 - Changsa, China
Duration: 2018 Jul 42018 Jul 8

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume2018-July

Conference

Conference13th World Congress on Intelligent Control and Automation, WCICA 2018
CountryChina
CityChangsa
Period18/7/418/7/8

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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  • Cite this

    Nguyen, M. L., & Chen, X. (2019). Discrete-Time Fractional Order Integral Sliding Mode Control for Piezoelectric Actuators with Improved Performance Based on Fuzzy Tuning. In Proceedings of the 2018 13th World Congress on Intelligent Control and Automation, WCICA 2018 (pp. 554-559). [8630517] (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCICA.2018.8630517