Disturbance observer-based H control of the T-S fuzzy model under imperfect premise matching

Sounghwan Hwang, Jin Bae Park, Young Hoon Joo

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

Abstract

In this paper, a disturbance observer based-control (DOBC) with H performance under imperfect premise matching method is proposed via the Takagi-Sugeno (T-S) fuzzy approach. Using the T-S fuzzy model, a sufficient condition for guaranteeing the H performance and asymptotic stability of closed-loop system with fuzzy disturbance observer (FDOB) and fuzzy controller is derived through linear matrix inequality (LMI). Unlike the previous studies using the parallel distributed compensation (PDC) method, the fuzzy controller designed under imperfect premise matching where the controller does not share the same membership functions from those of the fuzzy model. In addition, the external disturbance can be successfully estimated through FDOB. Therefore, the effect of the external disturbance can be reduced. Finally the simulation results for the inverted-pendulum system are provided to verify the effectiveness of the proposed design procedure.

Original languageEnglish
Title of host publicationAIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages622-627
Number of pages6
ISBN (Print)9781538618547
DOIs
Publication statusPublished - 2018 Aug 30
Event2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018 - Auckland, New Zealand
Duration: 2018 Jul 92018 Jul 12

Publication series

NameIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Volume2018-July

Conference

Conference2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018
CountryNew Zealand
CityAuckland
Period18/7/918/7/12

Fingerprint

Controllers
Membership functions
Pendulums
Asymptotic stability
Linear matrix inequalities
Closed loop systems
Compensation and Redress

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications
  • Software

Cite this

Hwang, S., Park, J. B., & Joo, Y. H. (2018). Disturbance observer-based H control of the T-S fuzzy model under imperfect premise matching. In AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics (pp. 622-627). [8452222] (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2018-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIM.2018.8452222
Hwang, Sounghwan ; Park, Jin Bae ; Joo, Young Hoon. / Disturbance observer-based H control of the T-S fuzzy model under imperfect premise matching. AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 622-627 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM).
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abstract = "In this paper, a disturbance observer based-control (DOBC) with H∞ performance under imperfect premise matching method is proposed via the Takagi-Sugeno (T-S) fuzzy approach. Using the T-S fuzzy model, a sufficient condition for guaranteeing the H∞ performance and asymptotic stability of closed-loop system with fuzzy disturbance observer (FDOB) and fuzzy controller is derived through linear matrix inequality (LMI). Unlike the previous studies using the parallel distributed compensation (PDC) method, the fuzzy controller designed under imperfect premise matching where the controller does not share the same membership functions from those of the fuzzy model. In addition, the external disturbance can be successfully estimated through FDOB. Therefore, the effect of the external disturbance can be reduced. Finally the simulation results for the inverted-pendulum system are provided to verify the effectiveness of the proposed design procedure.",
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Hwang, S, Park, JB & Joo, YH 2018, Disturbance observer-based H control of the T-S fuzzy model under imperfect premise matching. in AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics., 8452222, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, vol. 2018-July, Institute of Electrical and Electronics Engineers Inc., pp. 622-627, 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2018, Auckland, New Zealand, 18/7/9. https://doi.org/10.1109/AIM.2018.8452222

Disturbance observer-based H control of the T-S fuzzy model under imperfect premise matching. / Hwang, Sounghwan; Park, Jin Bae; Joo, Young Hoon.

AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Institute of Electrical and Electronics Engineers Inc., 2018. p. 622-627 8452222 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM; Vol. 2018-July).

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

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Hwang S, Park JB, Joo YH. Disturbance observer-based H control of the T-S fuzzy model under imperfect premise matching. In AIM 2018 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics. Institute of Electrical and Electronics Engineers Inc. 2018. p. 622-627. 8452222. (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM). https://doi.org/10.1109/AIM.2018.8452222