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Optimal Controller Design with Communication Delay for Solid Oxide Fuel Cell
Author(s) -
Alipouri Yousef,
Alipour Hasan
Publication year - 2020
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.1974
Subject(s) - controller (irrigation) , nonlinear system , control theory (sociology) , computer science , solid oxide fuel cell , control engineering , state (computer science) , control (management) , signal (programming language) , distributed computing , engineering , algorithm , chemistry , physics , electrode , anode , quantum mechanics , artificial intelligence , agronomy , biology , programming language
Development of distributed control algorithms has attracted significant attention for control of large‐scale processes. In distributed control systems, there are signal transmissions between local subsystems. One subsystem does not have complete knowledge of the whole system and interactions between subsystems are not completely considered. Communication delay also places limitations on achievable best performance. In this paper, considering communication delay, a distributed method is proposed to design an optimal controller using a discrete linear model. The advantage of the proposed method is in taking communication delay into account and being robust against subsystem failure. The proposed approach has been applied on a solid oxide fuel cell, which is extremely nonlinear and has a huge number of state variables. The results show the advantages and applicability of the proposed method.