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

Autor:	In-Beum Lee, Yujin Cheon, Dong Hyun Lee, Su Whan Sung
Rok vydání:	2013
Předmět:	Reduction (complexity) Frequency response Engineering Nonlinear system Artificial neural network business.industry Control theory Molten carbonate fuel cell PID controller Control engineering Operational optimization business Power control
Zdroj:	ASCC
DOI:	10.1109/ascc.2013.6606304
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::1796b0ceaff4db34dcf9bc1f4d8e346f https://doi.org/10.1109/ascc.2013.6606304 Zobrazit plný text záznamu