Publication Date

2-19-2019

Department

Ames Laboratory; Mechanical Engineering

Campus Units

Mechanical Engineering, Ames Laboratory

Report Number

IS-J 9903

DOI

10.1115/1.4042381

Journal Title

Journal of Electrochemical Energy Conversion and Storage

Volume Number

16

Issue Number

3

First Page

031003

Abstract

A multiple model adaptive control (MMAC) methodology is used to control the critical parameters of a solid oxide fuel cell gas turbine (SOFC-GT) cyberphysical simulator, capable of characterizing 300 kW hybrid plants. The SOFC system is composed of a hardware balance of plant (BoP) component, and a high fidelity FC model implemented in software. This study utilizes empirically derived transfer functions (TFs) of the BoP facility to derive the MMAC gains for the BoP system, based on an estimation algorithm which identifies current operating points. The MMAC technique is useful for systems having a wide operating envelope with nonlinear dynamics. The practical implementation of the adaptive methodology is presented through simulation in the matlab/simulink environment.

Language

en

Publisher

Iowa State University Digital Repository, Ames IA (United States)

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