Derivation and analysis of a self-tuning interval type-2 fuzzy PI controller

Xingguo Lu; Ming Liu; Jianxing Liu; Yuhang Guo

doi:10.1109/ISIE.2016.7744917

Derivation and analysis of a self-tuning interval type-2 fuzzy PI controller

Xingguo Lu
, Ming Liu
, Jianxing Liu
, Yuhang Guo

School of Mechatronics Engineering, Harbin Institute of Technology
School of Astronautics, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, a self-tuning interval type-2 fuzzy PI controller (IT2 FPIC) is proposed based on the analysis of the close form solution of IT2 FPIC output. Unlike other researches, the analytical derivations of IT2 FPIC output are presented in three error regions in this paper. Analysis has shown that the IT2 FPIC can be seen as a PI controller with variable gains, which are the functions of the inputs and the structure parameters. Then, the relationship between the sizes of footprint of uncertainty (FOU), inputs of the controller and the equivalent PI gains is investigated. On the basis of the above work, a self-tuning IT2 FPIC is proposed. Simulation results show that the proposed controller provides better performance than T1 FPIC and IT2 FPIC.

Original language	English
Title of host publication	Proceedings - 2016 IEEE 25th International Symposium on Industrial Electronics, ISIE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	362-368
Number of pages	7
ISBN (Electronic)	9781509008735
DOIs	https://doi.org/10.1109/ISIE.2016.7744917
State	Published - 17 Nov 2016
Externally published	Yes
Event	25th IEEE International Symposium on Industrial Electronics, ISIE 2016 - Santa Clara, United States Duration: 8 Jun 2016 → 10 Jun 2016

Publication series

Name	IEEE International Symposium on Industrial Electronics
Volume	2016-November

Conference

Conference	25th IEEE International Symposium on Industrial Electronics, ISIE 2016
Country/Territory	United States
City	Santa Clara
Period	8/06/16 → 10/06/16

Keywords

Analytical derivation
Error region
Heuristic self-tuning strategy
Self-tuning IT2 FPIC

Access to Document

10.1109/ISIE.2016.7744917

Cite this

Lu, X., Liu, M., Liu, J., & Guo, Y. (2016). Derivation and analysis of a self-tuning interval type-2 fuzzy PI controller. In Proceedings - 2016 IEEE 25th International Symposium on Industrial Electronics, ISIE 2016 (pp. 362-368). Article 7744917 (IEEE International Symposium on Industrial Electronics; Vol. 2016-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIE.2016.7744917

@inproceedings{6becf4539d9d4330991968e0ef9f79ff,

title = "Derivation and analysis of a self-tuning interval type-2 fuzzy PI controller",

abstract = "In this paper, a self-tuning interval type-2 fuzzy PI controller (IT2 FPIC) is proposed based on the analysis of the close form solution of IT2 FPIC output. Unlike other researches, the analytical derivations of IT2 FPIC output are presented in three error regions in this paper. Analysis has shown that the IT2 FPIC can be seen as a PI controller with variable gains, which are the functions of the inputs and the structure parameters. Then, the relationship between the sizes of footprint of uncertainty (FOU), inputs of the controller and the equivalent PI gains is investigated. On the basis of the above work, a self-tuning IT2 FPIC is proposed. Simulation results show that the proposed controller provides better performance than T1 FPIC and IT2 FPIC.",

keywords = "Analytical derivation, Error region, Heuristic self-tuning strategy, Self-tuning IT2 FPIC",

author = "Xingguo Lu and Ming Liu and Jianxing Liu and Yuhang Guo",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 25th IEEE International Symposium on Industrial Electronics, ISIE 2016 ; Conference date: 08-06-2016 Through 10-06-2016",

year = "2016",

month = nov,

day = "17",

doi = "10.1109/ISIE.2016.7744917",

language = "英语",

series = "IEEE International Symposium on Industrial Electronics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "362--368",

booktitle = "Proceedings - 2016 IEEE 25th International Symposium on Industrial Electronics, ISIE 2016",

address = "美国",

}

Lu, X, Liu, M, Liu, J & Guo, Y 2016, Derivation and analysis of a self-tuning interval type-2 fuzzy PI controller. in Proceedings - 2016 IEEE 25th International Symposium on Industrial Electronics, ISIE 2016., 7744917, IEEE International Symposium on Industrial Electronics, vol. 2016-November, Institute of Electrical and Electronics Engineers Inc., pp. 362-368, 25th IEEE International Symposium on Industrial Electronics, ISIE 2016, Santa Clara, United States, 8/06/16. https://doi.org/10.1109/ISIE.2016.7744917

Derivation and analysis of a self-tuning interval type-2 fuzzy PI controller. / Lu, Xingguo; Liu, Ming; Liu, Jianxing et al.
Proceedings - 2016 IEEE 25th International Symposium on Industrial Electronics, ISIE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 362-368 7744917 (IEEE International Symposium on Industrial Electronics; Vol. 2016-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Derivation and analysis of a self-tuning interval type-2 fuzzy PI controller

AU - Lu, Xingguo

AU - Liu, Ming

AU - Liu, Jianxing

AU - Guo, Yuhang

PY - 2016/11/17

Y1 - 2016/11/17

N2 - In this paper, a self-tuning interval type-2 fuzzy PI controller (IT2 FPIC) is proposed based on the analysis of the close form solution of IT2 FPIC output. Unlike other researches, the analytical derivations of IT2 FPIC output are presented in three error regions in this paper. Analysis has shown that the IT2 FPIC can be seen as a PI controller with variable gains, which are the functions of the inputs and the structure parameters. Then, the relationship between the sizes of footprint of uncertainty (FOU), inputs of the controller and the equivalent PI gains is investigated. On the basis of the above work, a self-tuning IT2 FPIC is proposed. Simulation results show that the proposed controller provides better performance than T1 FPIC and IT2 FPIC.

AB - In this paper, a self-tuning interval type-2 fuzzy PI controller (IT2 FPIC) is proposed based on the analysis of the close form solution of IT2 FPIC output. Unlike other researches, the analytical derivations of IT2 FPIC output are presented in three error regions in this paper. Analysis has shown that the IT2 FPIC can be seen as a PI controller with variable gains, which are the functions of the inputs and the structure parameters. Then, the relationship between the sizes of footprint of uncertainty (FOU), inputs of the controller and the equivalent PI gains is investigated. On the basis of the above work, a self-tuning IT2 FPIC is proposed. Simulation results show that the proposed controller provides better performance than T1 FPIC and IT2 FPIC.

KW - Analytical derivation

KW - Error region

KW - Heuristic self-tuning strategy

KW - Self-tuning IT2 FPIC

UR - https://www.scopus.com/pages/publications/85001124685

U2 - 10.1109/ISIE.2016.7744917

DO - 10.1109/ISIE.2016.7744917

M3 - 会议稿件

AN - SCOPUS:85001124685

T3 - IEEE International Symposium on Industrial Electronics

SP - 362

EP - 368

BT - Proceedings - 2016 IEEE 25th International Symposium on Industrial Electronics, ISIE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th IEEE International Symposium on Industrial Electronics, ISIE 2016

Y2 - 8 June 2016 through 10 June 2016

ER -

Derivation and analysis of a self-tuning interval type-2 fuzzy PI controller

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this