A Multi-Region Fuzzy Logic Controller for Controlling Processes with Nonlinear Gains

S. Joe QIN; Guy BORDERS

doi:10.1109/isic.1993.397672

A Multi-Region Fuzzy Logic Controller for Controlling Processes with Nonlinear Gains

S. Joe QIN^*, Guy BORDERS

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

2 Citations (Scopus)

Abstract

Although a fuzzy logic controller is generally nonlinear, a PI-type fuzzy controller that uses only control error and change in control error is not able to detect the process non-linearity and make a control move accordingly. In this paper, a multi-region fuzzy logic controller is proposed for nonlinear process control. Based on prior knowledge, the process to be controlled is divided in fuzzy regions using an auxiliary process variable. Then a fuzzy controller is designed based on the regional information. Rule combination and controller tuning are discussed. Application of the controller to pH control is demonstrated.

Original language	English
Title of host publication	Proceedings of the 8th IEEE International Symposium on Intelligent Control, Chicago, Illinois, USA - August 1993
Publisher	Institute of Electrical and Electronics Engineers
Pages	445-450
Number of pages	6
ISBN (Print)	0780312066
DOIs	https://doi.org/10.1109/isic.1993.397672
Publication status	Published - Aug 1993
Externally published	Yes
Event	8th IEEE International Symposium on Intelligent Control - Chicago, United States Duration: 25 Aug 1993 → 27 Aug 1993

Conference

Conference	8th IEEE International Symposium on Intelligent Control
Country/Territory	United States
City	Chicago
Period	25/08/93 → 27/08/93

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10.1109/isic.1993.397672

Cite this

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title = "A Multi-Region Fuzzy Logic Controller for Controlling Processes with Nonlinear Gains",

abstract = "Although a fuzzy logic controller is generally nonlinear, a PI-type fuzzy controller that uses only control error and change in control error is not able to detect the process non-linearity and make a control move accordingly. In this paper, a multi-region fuzzy logic controller is proposed for nonlinear process control. Based on prior knowledge, the process to be controlled is divided in fuzzy regions using an auxiliary process variable. Then a fuzzy controller is designed based on the regional information. Rule combination and controller tuning are discussed. Application of the controller to pH control is demonstrated.",

author = "QIN, {S. Joe} and Guy BORDERS",

year = "1993",

month = aug,

doi = "10.1109/isic.1993.397672",

language = "English",

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pages = "445--450",

booktitle = "Proceedings of the 8th IEEE International Symposium on Intelligent Control, Chicago, Illinois, USA - August 1993",

publisher = "Institute of Electrical and Electronics Engineers",

note = "8th IEEE International Symposium on Intelligent Control ; Conference date: 25-08-1993 Through 27-08-1993",

}

QIN, SJ & BORDERS, G 1993, A Multi-Region Fuzzy Logic Controller for Controlling Processes with Nonlinear Gains. in Proceedings of the 8th IEEE International Symposium on Intelligent Control, Chicago, Illinois, USA - August 1993. Institute of Electrical and Electronics Engineers, pp. 445-450, 8th IEEE International Symposium on Intelligent Control, Chicago, Illinois, United States, 25/08/93. https://doi.org/10.1109/isic.1993.397672

A Multi-Region Fuzzy Logic Controller for Controlling Processes with Nonlinear Gains. / QIN, S. Joe; BORDERS, Guy.
Proceedings of the 8th IEEE International Symposium on Intelligent Control, Chicago, Illinois, USA - August 1993. Institute of Electrical and Electronics Engineers, 1993. p. 445-450.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

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AU - QIN, S. Joe

AU - BORDERS, Guy

PY - 1993/8

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N2 - Although a fuzzy logic controller is generally nonlinear, a PI-type fuzzy controller that uses only control error and change in control error is not able to detect the process non-linearity and make a control move accordingly. In this paper, a multi-region fuzzy logic controller is proposed for nonlinear process control. Based on prior knowledge, the process to be controlled is divided in fuzzy regions using an auxiliary process variable. Then a fuzzy controller is designed based on the regional information. Rule combination and controller tuning are discussed. Application of the controller to pH control is demonstrated.

AB - Although a fuzzy logic controller is generally nonlinear, a PI-type fuzzy controller that uses only control error and change in control error is not able to detect the process non-linearity and make a control move accordingly. In this paper, a multi-region fuzzy logic controller is proposed for nonlinear process control. Based on prior knowledge, the process to be controlled is divided in fuzzy regions using an auxiliary process variable. Then a fuzzy controller is designed based on the regional information. Rule combination and controller tuning are discussed. Application of the controller to pH control is demonstrated.

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DO - 10.1109/isic.1993.397672

M3 - Conference paper (refereed)

SN - 0780312066

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EP - 450

BT - Proceedings of the 8th IEEE International Symposium on Intelligent Control, Chicago, Illinois, USA - August 1993

PB - Institute of Electrical and Electronics Engineers

T2 - 8th IEEE International Symposium on Intelligent Control

Y2 - 25 August 1993 through 27 August 1993

ER -

A Multi-Region Fuzzy Logic Controller for Controlling Processes with Nonlinear Gains

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