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Optimal control of fuel processing system using generalized linear quadratic Gaussian and loop transfer recovery method
Author(s) -
Tsai HuanLiang,
Lin JiumMing
Publication year - 2010
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.224
Subject(s) - linear quadratic gaussian control , control theory (sociology) , quadratic equation , loop (graph theory) , gaussian , control (management) , transfer (computing) , control system , mathematics , optimal control , computer science , control engineering , mathematical optimization , engineering , artificial intelligence , physics , combinatorics , geometry , electrical engineering , quantum mechanics , parallel computing
This paper proposes an optimal control system that consists of both feedforward and state‐feedback controllers designed using a generalized linear quadratic Gaussian and loop transfer recovery (GLQG/LTR) method for a fuel processing system (FPS). This FPS uses natural gas as fuel and reacts with atmospheric air through a catalytic partial oxidation (CPO) response. The control objective is focused on the regulatory performance of the output vector in response to a desired stack current command in the face of load variation. The proposed method provides another degree of freedom in the optimal control design and gives the compensated system a prescribed degree of stability. Finally, the numerical simulations of compensated FPS reveal that the proposed method displays better performance and robustness properties in both time‐domain and frequency‐domain responses than those obtained by the traditional LQ Method. Copyright © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society