A self-tuning fuzzy logic controller for temperature control of superheated steam

Pekka Isomursu; Tapio Rauma

doi:10.1109/FUZZY.1994.343927

A self-tuning fuzzy logic controller for temperature control of superheated steam

Pekka Isomursu, Tapio Rauma

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

16 Citations (Scopus)

Abstract

We first introduce a non-adaptive fuzzy logic controller (FLC) for the control of live steam temperature in a coal-fired power plant. For further enhancing performance, we introduce a self-tuning method for the FLC that modifies the scaling factor of one FLC output. To make the FLC more portable to other similar plants and more robust we add another self-tuning mechanism that runs online and modifies the membership functions of the fuzzy rule set. We have used the meta-rule approach in the tuning mechanisms. The performance of the FLC is compared to a cascade PI controller.

Original language	English
Title of host publication	Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference
Publisher	IEEE Institute of Electrical and Electronic Engineers
ISBN (Print)	978-0-7803-1896-0
DOIs	https://doi.org/10.1109/FUZZY.1994.343927
Publication status	Published - 1994
MoE publication type	A4 Article in a conference publication
Event	3rd International Fuzzy Systems Conference - Orlando, United States Duration: 26 Jun 1994 → 29 Jun 1994

Conference

Conference	3rd International Fuzzy Systems Conference
Country/Territory	United States
City	Orlando
Period	26/06/94 → 29/06/94

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10.1109/FUZZY.1994.343927

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title = "A self-tuning fuzzy logic controller for temperature control of superheated steam",

abstract = "We first introduce a non-adaptive fuzzy logic controller (FLC) for the control of live steam temperature in a coal-fired power plant. For further enhancing performance, we introduce a self-tuning method for the FLC that modifies the scaling factor of one FLC output. To make the FLC more portable to other similar plants and more robust we add another self-tuning mechanism that runs online and modifies the membership functions of the fuzzy rule set. We have used the meta-rule approach in the tuning mechanisms. The performance of the FLC is compared to a cascade PI controller.",

author = "Pekka Isomursu and Tapio Rauma",

note = "Project code: ele3080 ; 3rd International Fuzzy Systems Conference ; Conference date: 26-06-1994 Through 29-06-1994",

year = "1994",

doi = "10.1109/FUZZY.1994.343927",

language = "English",

isbn = "978-0-7803-1896-0",

booktitle = "Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

}

A self-tuning fuzzy logic controller for temperature control of superheated steam. / Isomursu, Pekka; Rauma, Tapio.
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference. IEEE Institute of Electrical and Electronic Engineers, 1994.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - A self-tuning fuzzy logic controller for temperature control of superheated steam

AU - Isomursu, Pekka

AU - Rauma, Tapio

N1 - Project code: ele3080

PY - 1994

Y1 - 1994

N2 - We first introduce a non-adaptive fuzzy logic controller (FLC) for the control of live steam temperature in a coal-fired power plant. For further enhancing performance, we introduce a self-tuning method for the FLC that modifies the scaling factor of one FLC output. To make the FLC more portable to other similar plants and more robust we add another self-tuning mechanism that runs online and modifies the membership functions of the fuzzy rule set. We have used the meta-rule approach in the tuning mechanisms. The performance of the FLC is compared to a cascade PI controller.

AB - We first introduce a non-adaptive fuzzy logic controller (FLC) for the control of live steam temperature in a coal-fired power plant. For further enhancing performance, we introduce a self-tuning method for the FLC that modifies the scaling factor of one FLC output. To make the FLC more portable to other similar plants and more robust we add another self-tuning mechanism that runs online and modifies the membership functions of the fuzzy rule set. We have used the meta-rule approach in the tuning mechanisms. The performance of the FLC is compared to a cascade PI controller.

U2 - 10.1109/FUZZY.1994.343927

DO - 10.1109/FUZZY.1994.343927

M3 - Conference article in proceedings

SN - 978-0-7803-1896-0

BT - Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 3rd International Fuzzy Systems Conference

Y2 - 26 June 1994 through 29 June 1994

ER -

A self-tuning fuzzy logic controller for temperature control of superheated steam

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