A new PID auto-tuning strategy with operational optimization for MCFC systems

Yujin Cheon; Donghyun Lee; In Beum Lee; Su Whan Sung

doi:10.1109/ASCC.2013.6606304

A new PID auto-tuning strategy with operational optimization for MCFC systems

Yujin Cheon
, Donghyun Lee
, In Beum Lee
, Su Whan Sung

Pohang University of Science and Technology
Kyungpook National University

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

6 Scopus citations

Abstract

This paper presents a new strategy of PID autotuning which is combined with an operational optimization for Molten Carbonate Fuel Cell (MCFC) systems to track the power demand with high efficiency. The PID auto-tuning methodology is based on frequency response identification and a model reduction to a fractional low order model. And the operational optimization problem is formulated by a radial basis functional neural network model. The proposed control strategy provides good control performance for the successive power demand changes and successfully compensates the nonlinearity of the MCFC system.

Original language	English
Title of host publication	2013 9th Asian Control Conference, ASCC 2013
DOIs	https://doi.org/10.1109/ASCC.2013.6606304
State	Published - 2013
Externally published	Yes
Event	2013 9th Asian Control Conference, ASCC 2013 - Istanbul, Turkey Duration: 23 Jun 2013 → 26 Jun 2013

Publication series

Name	2013 9th Asian Control Conference, ASCC 2013

Conference

Conference	2013 9th Asian Control Conference, ASCC 2013
Country/Territory	Turkey
City	Istanbul
Period	23/06/13 → 26/06/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

auto-tuning
Fuel Cells
gain scheduling
operational optimization
PID control

Access to Document

10.1109/ASCC.2013.6606304

Cite this

@inproceedings{b9fd7d964c3947c68e8f8b93632a5aab,

title = "A new PID auto-tuning strategy with operational optimization for MCFC systems",

abstract = "This paper presents a new strategy of PID autotuning which is combined with an operational optimization for Molten Carbonate Fuel Cell (MCFC) systems to track the power demand with high efficiency. The PID auto-tuning methodology is based on frequency response identification and a model reduction to a fractional low order model. And the operational optimization problem is formulated by a radial basis functional neural network model. The proposed control strategy provides good control performance for the successive power demand changes and successfully compensates the nonlinearity of the MCFC system.",

keywords = "auto-tuning, Fuel Cells, gain scheduling, operational optimization, PID control",

author = "Yujin Cheon and Donghyun Lee and Lee, \{In Beum\} and Sung, \{Su Whan\}",

year = "2013",

doi = "10.1109/ASCC.2013.6606304",

language = "English",

isbn = "9781467357692",

series = "2013 9th Asian Control Conference, ASCC 2013",

booktitle = "2013 9th Asian Control Conference, ASCC 2013",

note = "2013 9th Asian Control Conference, ASCC 2013 ; Conference date: 23-06-2013 Through 26-06-2013",

}

TY - GEN

T1 - A new PID auto-tuning strategy with operational optimization for MCFC systems

AU - Cheon, Yujin

AU - Lee, Donghyun

AU - Lee, In Beum

AU - Sung, Su Whan

PY - 2013

Y1 - 2013

N2 - This paper presents a new strategy of PID autotuning which is combined with an operational optimization for Molten Carbonate Fuel Cell (MCFC) systems to track the power demand with high efficiency. The PID auto-tuning methodology is based on frequency response identification and a model reduction to a fractional low order model. And the operational optimization problem is formulated by a radial basis functional neural network model. The proposed control strategy provides good control performance for the successive power demand changes and successfully compensates the nonlinearity of the MCFC system.

AB - This paper presents a new strategy of PID autotuning which is combined with an operational optimization for Molten Carbonate Fuel Cell (MCFC) systems to track the power demand with high efficiency. The PID auto-tuning methodology is based on frequency response identification and a model reduction to a fractional low order model. And the operational optimization problem is formulated by a radial basis functional neural network model. The proposed control strategy provides good control performance for the successive power demand changes and successfully compensates the nonlinearity of the MCFC system.

KW - auto-tuning

KW - Fuel Cells

KW - gain scheduling

KW - operational optimization

KW - PID control

UR - https://www.scopus.com/pages/publications/84886502244

U2 - 10.1109/ASCC.2013.6606304

DO - 10.1109/ASCC.2013.6606304

M3 - Conference contribution

AN - SCOPUS:84886502244

SN - 9781467357692

T3 - 2013 9th Asian Control Conference, ASCC 2013

BT - 2013 9th Asian Control Conference, ASCC 2013

T2 - 2013 9th Asian Control Conference, ASCC 2013

Y2 - 23 June 2013 through 26 June 2013

ER -

A new PID auto-tuning strategy with operational optimization for MCFC systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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