Output Feedback Model Predictive Tracking Control Using a Slope Bounded Nonlinear Model

Title
Output Feedback Model Predictive Tracking Control Using a Slope Bounded Nonlinear Model
Author(s)
박주현S.M. Lee[S.M. Lee]O.M. Kwon[O.M. Kwon]
Keywords
SYSTEMS
Issue Date
201401
Publisher
SPRINGER/PLENUM PUBLISHERS
Citation
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, v.160, no.1, pp.239 - 254
Abstract
In this paper, an output feedback model predictive tracking control method is proposed for constrained nonlinear systems, which are described by a slope bounded model. In order to solve the problem, we consider the finite horizon cost function for an off-set free tracking control of the system. For reference tracking, the steady state is calculated by solving by quadratic programming and a nonlinear estimator is designed to predict the state from output measurements. The optimized control input sequences are obtained by minimizing the upper bound of the cost function with a terminal weighting matrix. The cost monotonicity guarantees that tracking and estimation errors go to zero. The proposed control law can easily be obtained by solving a convex optimization problem satisfying several linear matrix inequalities. In order to show the effectiveness of the proposed method, a novel slope bounded nonlinear model-based predictive control method is applied to the set-point tracking problem of solid oxide fuel cell systems. Simulations are also given to demonstrate the tracking performance of the proposed method.
URI
http://hdl.handle.net/YU.REPOSITORY/33474http://dx.doi.org/10.1007/s10957-012-0201-8
ISSN
0022-3239
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공과대학 > 전기공학과 > Articles
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