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Adaptive Composite Fuzzy Dynamic Surface Control for Electro‐Hydraulic‐System, with Variable‐Supply‐Pressure
Author(s) -
Guo Qinyang,
Shi Guanglin,
Wang Dongmei
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.1907
Subject(s) - control theory (sociology) , nonlinear system , fuzzy logic , tracking error , controller (irrigation) , control engineering , variable (mathematics) , fuzzy control system , adaptive control , computer science , hydraulic machinery , composite number , engineering , control (management) , mathematics , algorithm , mechanical engineering , artificial intelligence , mathematical analysis , physics , quantum mechanics , agronomy , biology
This paper presents a novel adaptive composite fuzzy dynamic surface controller for a variable‐supply‐pressure electro‐hydraulic‐system in the presence of unknown nonlinear friction effects. To avoid analytic calculation, command filters are utilized to produce certain virtual controllers and their derivatives. A fuzzy logic system is designed to approximate and compensate the unknown nonlinear friction influences of the electro‐hydraulic‐system. To achieve a precise approximation, the prediction error of a designed serial‐parallel estimation model and the compensated tracking error are both used to develop the composite adaptive law. Comparative simulation and experimental results are obtained to verify the effectiveness of the proposed control method.