SIRMs dynamically connected fuzzy inference model and PID controller

Naoyoshi Yubazaki; Jianqiang Yi; Kaoru Hirota

doi:10.1109/FUZZY.1998.687506

SIRMs dynamically connected fuzzy inference model and PID controller

Naoyoshi Yubazaki, Jianqiang Yi, Kaoru Hirota

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

3 Citations (Scopus)

Abstract

The fuzzy controller based on the single input rule modules (SIRMs) dynamically connected fuzzy inference model is analyzed. When the fuzzy controller uses output error and the change in the output error as input items and the change in the manipulated variable as output item to control first-order lag plants, it is proved to be a nonlinear PI controller. When it adds the second-order change in the output error to the input items for second-order lag plants, the fuzzy controller works as a nonlinear PID controller which consists of nonlinear P-Action, I-Action and D-Action. Control experiments are also performed. The results show that the fuzzy controller can reduce the reaching time without causing any overshoot or steady state error compared with the conventional PI or PLD controller.

Original language	English
Title of host publication	1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	325-330
Number of pages	6
ISBN (Print)	078034863X, 9780780348639
DOIs	https://doi.org/10.1109/FUZZY.1998.687506
Publication status	Published - 1998
Externally published	Yes
Event	1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998 - Anchorage, United States Duration: 4 May 1998 → 9 May 1998

Publication series

Name	1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence
Volume	1

Conference

Conference	1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998
Country/Territory	United States
City	Anchorage
Period	4/05/98 → 9/05/98

Access to Document

10.1109/FUZZY.1998.687506

Cite this

Yubazaki, N., Yi, J., & Hirota, K. (1998). SIRMs dynamically connected fuzzy inference model and PID controller. In 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence (pp. 325-330). Article 687506 (1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZY.1998.687506

Yubazaki, Naoyoshi ; Yi, Jianqiang ; Hirota, Kaoru. / SIRMs dynamically connected fuzzy inference model and PID controller. 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence. Institute of Electrical and Electronics Engineers Inc., 1998. pp. 325-330 (1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence).

@inproceedings{f84280733d7e4912aad54a47f0d6908b,

title = "SIRMs dynamically connected fuzzy inference model and PID controller",

abstract = "The fuzzy controller based on the single input rule modules (SIRMs) dynamically connected fuzzy inference model is analyzed. When the fuzzy controller uses output error and the change in the output error as input items and the change in the manipulated variable as output item to control first-order lag plants, it is proved to be a nonlinear PI controller. When it adds the second-order change in the output error to the input items for second-order lag plants, the fuzzy controller works as a nonlinear PID controller which consists of nonlinear P-Action, I-Action and D-Action. Control experiments are also performed. The results show that the fuzzy controller can reduce the reaching time without causing any overshoot or steady state error compared with the conventional PI or PLD controller.",

author = "Naoyoshi Yubazaki and Jianqiang Yi and Kaoru Hirota",

note = "Publisher Copyright: {\textcopyright} 1998 IEEE.; 1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998 ; Conference date: 04-05-1998 Through 09-05-1998",

year = "1998",

doi = "10.1109/FUZZY.1998.687506",

language = "English",

isbn = "078034863X",

series = "1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence",

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

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booktitle = "1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence",

address = "United States",

}

Yubazaki, N, Yi, J & Hirota, K 1998, SIRMs dynamically connected fuzzy inference model and PID controller. in 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence., 687506, 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 325-330, 1998 IEEE International Conference on Fuzzy Systems, FUZZY 1998, Anchorage, United States, 4/05/98. https://doi.org/10.1109/FUZZY.1998.687506

SIRMs dynamically connected fuzzy inference model and PID controller. / Yubazaki, Naoyoshi; Yi, Jianqiang; Hirota, Kaoru.
1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence. Institute of Electrical and Electronics Engineers Inc., 1998. p. 325-330 687506 (1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence; Vol. 1).

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

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AU - Yubazaki, Naoyoshi

AU - Yi, Jianqiang

AU - Hirota, Kaoru

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N2 - The fuzzy controller based on the single input rule modules (SIRMs) dynamically connected fuzzy inference model is analyzed. When the fuzzy controller uses output error and the change in the output error as input items and the change in the manipulated variable as output item to control first-order lag plants, it is proved to be a nonlinear PI controller. When it adds the second-order change in the output error to the input items for second-order lag plants, the fuzzy controller works as a nonlinear PID controller which consists of nonlinear P-Action, I-Action and D-Action. Control experiments are also performed. The results show that the fuzzy controller can reduce the reaching time without causing any overshoot or steady state error compared with the conventional PI or PLD controller.

AB - The fuzzy controller based on the single input rule modules (SIRMs) dynamically connected fuzzy inference model is analyzed. When the fuzzy controller uses output error and the change in the output error as input items and the change in the manipulated variable as output item to control first-order lag plants, it is proved to be a nonlinear PI controller. When it adds the second-order change in the output error to the input items for second-order lag plants, the fuzzy controller works as a nonlinear PID controller which consists of nonlinear P-Action, I-Action and D-Action. Control experiments are also performed. The results show that the fuzzy controller can reduce the reaching time without causing any overshoot or steady state error compared with the conventional PI or PLD controller.

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M3 - Conference contribution

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SN - 9780780348639

T3 - 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence

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BT - 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence

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Yubazaki N, Yi J, Hirota K. SIRMs dynamically connected fuzzy inference model and PID controller. In 1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence. Institute of Electrical and Electronics Engineers Inc. 1998. p. 325-330. 687506. (1998 IEEE International Conference on Fuzzy Systems Proceedings - IEEE World Congress on Computational Intelligence). doi: 10.1109/FUZZY.1998.687506

SIRMs dynamically connected fuzzy inference model and PID controller

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