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

Author

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

Author_Institution

Dept. of Chem. Eng., Pohang Univ. of Sci. & Technol., Pohang, South Korea

fYear

2013

fDate

23-26 June 2013

Firstpage

1

Lastpage

6

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

molten carbonate fuel cells; neurocontrollers; optimisation; power control; radial basis function networks; reduced order systems; self-adjusting systems; three-term control; MCFC system; PID autotuning strategy; fractional low order model; frequency response identification; model reduction; molten carbonate fuel cell; operational optimization; power demand; radial basis functional neural network model; Frequency response; Fuels; Optimization; Power demand; Relays; Steady-state; Tuning; Fuel Cells; PID control; auto-tuning; gain scheduling; operational optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ASCC), 2013 9th Asian

Conference_Location

Istanbul

Print_ISBN

978-1-4673-5767-8

Type

conf

DOI

10.1109/ASCC.2013.6606304

Filename

6606304