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Design of a memory‐based prefilter supplementing a robust PID control system
Author(s) -
Takao Kenji,
Yamamoto Toru,
Hinamoto Takao
Publication year - 2008
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.36
Subject(s) - control theory (sociology) , pid controller , nonlinear system , control engineering , robust control , stability (learning theory) , computer science , controller (irrigation) , scheme (mathematics) , robustness (evolution) , control (management) , control system , engineering , mathematics , temperature control , artificial intelligence , electrical engineering , agronomy , biochemistry , chemistry , mathematical analysis , physics , quantum mechanics , machine learning , gene , biology
For systems with uncertainties, lots of PID parameter tuning methods have been proposed from the view point of the robust stability theory. However, the control performance becomes conservative using robust PID controllers. In this paper, a new two‐degree‐of‐freedom (2DOF) controller, which can improve the tracking properties, is proposed for nonlinear systems. According to the proposed method, the prefilter is designed as the PD compensator whose control parameters are tuned by the idea of a memory‐based modeling (MBM) method. Since the MBM method is a type of local modeling methods for nonlinear systems, PD parameters can be tuned adequately in an online manner corresponding to nonlinear properties. Finally, the effectiveness of the newly proposed control scheme is numerically evaluated on a simulation example. Copyright © 2008 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society