Predictive control for sector bounded nonlinear model and its application to solid oxide fuel cell systems

Title
Predictive control for sector bounded nonlinear model and its application to solid oxide fuel cell systems
Author(s)
박주현S.M. Lee[S.M. Lee]O.M. Kwon[O.M. Kwon]
Keywords
ABSOLUTE STABILITY; LURE SYSTEMS; FUZZY MODEL; IDENTIFICATION
Issue Date
201205
Publisher
ELSEVIER SCIENCE INC
Citation
APPLIED MATHEMATICS AND COMPUTATION, v.218, no.18, pp.9296 - 9304
Abstract
In this paper, a nonlinear model predictive control method is presented for solid oxide fuel cell systems. For realistic modeling, a sector bounded nonlinear model with input constraint is considered. As a performance index, we consider one horizon cost function that is represented by the weighted sum of state, control input and nonlinear function. By minimizing the upper bound of the cost function, the optimized control input sequences are obtained. For cost monotonicity, a terminal inequality condition is derived in terms of a finite number of linear matrix inequalities (LMIs) by using augmented vector feedback law which consists of state and sector bounded nonlinear function. In order to show the effectiveness of the proposed method, the sector bounded nonlinear model is derived for the solid oxide fuel cell systems and the system performance is verified by applying the proposed MPC algorithm to the systems. (C) 2012 Elsevier Inc. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/28290http://dx.doi.org/10.1016/j.amc.2012.03.008
ISSN
0096-3003
Appears in Collections:
공과대학 > 전기공학과 > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE