Towards Systematic Design of General Type-2 Fuzzy Logic Controllers: Analysis, Interpretation, and Tuning

Ahmet Sakalli, Tufan Kumbasar*, Jerry M. Mendel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

62 Citations (Scopus)

Abstract

This article aims to provide a new perspective on how the deployment of general type-2 (GT2) fuzzy sets affects the mapping of a class of fuzzy logic controllers (FLCs). It is shown that an α-plane represented a GT2-FLC is easily designed via baseline type-1 and interval type-2 FLCs and two design parameters (DPs). The DPs are the total number of α planes and the tuning parameter of the secondary membership function that are interpreted as sensitivity and shape DPs, respectively. We provide a clear understanding and interpretation of the sensitivity and shape DPs on controller performance through various comparative analyses. We present design approaches on how to tune the shape DP by providing a tradeoff between robustness and performance. We also propose two online scheduling mechanisms to tune the shape DP. We explore the effect of the sensitivity DP on the GT2-FLC and provide practical insights on how to tune the sensitivity DP. We present an algorithm for tuning the sensitivity DP that provides a compromise between computational time and sensitivity. We validate our analyses, interpretations, and design methods with experimental results conducted on a drone. We believe that this article provides clear explanations on the role of DPs on the performance, robustness, sensitivity, and computational time of GT2-FLCs.

Original languageEnglish
Article number9165875
Pages (from-to)226-239
Number of pages14
JournalIEEE Transactions on Fuzzy Systems
Volume29
Issue number2
DOIs
Publication statusPublished - Feb 2021

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Funding

Manuscript received February 1, 2020; revised May 21, 2020 and July 13, 2020; accepted August 5, 2020. Date of publication August 12, 2020; date of current version February 3, 2021. This work was supported by the Research Fund of the Scientific and Technological Research Council of Turkey under Project 118E807. (Corresponding author: Tufan Kumbasar.) Ahmet Sakalli and Tufan Kumbasar are with the Control and Automation Engineering Department, Istanbul Technical University, Istanbul 34469, Turkey (e-mail: [email protected]; [email protected]).

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu118E807

    Keywords

    • General type-2 fuzzy logic controllers (GT2-FLCs)
    • secondary membership function (SMF)
    • systematic design
    • type-2 fuzzy sets (FSs)

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