Single vs. Double input interval type-2 fuzzy PID controllers: Which one is better?

Aykut Beke, Tufan Kumbasar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

In this paper, we will analyze and present systematic design approaches for the most commonly employed Interval Type-2 (IT2) Fuzzy PID (FPID) controllers which are the Single input IT2 (SIT2) and Double IT2 (DIT2) FPID controllers. We will firstly start with presenting the general structure of the IT2-FPID controllers and then present internal model control based tuning approaches to calculate the scaling factors of the IT2-FPID controllers. It will be shown that, by simply tuning the Footprint of Uncertainty parameters, how to construct aggressive and smooth control curves for SIT2-FPID controllers while aggressive and smooth control surfaces for DIT2-FPID controllers. Finally, we will present real world experiments using a tricycle that will act as a platform to validate the control systems. The comparative experimental results will show that the real-time tracking control performance of both the SIT2-FPID and DIT2-FPID control structure is better in the presence of noise and unmodelled dynamics in comparison with their Type-1 fuzzy and conventional counterparts. We will also try to address the question “Which IT2-FPID controller is better?” by taking account the design simplicity and control system performance.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509060207
DOIs
Publication statusPublished - 12 Oct 2018
Event2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Rio de Janeiro, Brazil
Duration: 8 Jul 201813 Jul 2018

Publication series

NameIEEE International Conference on Fuzzy Systems
Volume2018-July
ISSN (Print)1098-7584

Conference

Conference2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018
Country/TerritoryBrazil
CityRio de Janeiro
Period8/07/1813/07/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

This work was supported by Research Fund of the Istanbul Technical University. Project Number: 40988.

FundersFunder number
Istanbul Teknik Üniversitesi40988

    Keywords

    • Control Curve
    • Control Surface
    • Footprint of Uncertainty
    • Interval Type-2 Fuzzy PID
    • Tricycle Vehicle
    • Type-2 Fuzzy Logic Control

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